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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2022.893120</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Contrasting the primings between English and Chinese: To advance Hoey&#x00027;s theory of lexical priming from the perspective of culture psychology</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Luojia</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1555927/overview"/>
</contrib>
</contrib-group>
<aff><institution>Department of Software, Dalian University of Foreign Languages</institution>, <addr-line>Dalian</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Xiaowei Zhao, Emmanuel College, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Shifa Chen, Ocean University of China, China; Michael Pace-Sigge, University of Eastern Finland, Finland</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Luojia Wang <email>wangluojia&#x00040;dlufl.edu.cn</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Language Sciences, a section of the journal Frontiers in Psychology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>08</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>893120</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>03</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>07</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Wang.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license></permissions>
<abstract>
<p>The present study demonstrated that Hoey&#x00027;s promising and serviceable theory could serve as one that can describe and explain similarities and differences exhibited between English and Chinese. Three fundamental concepts as defined in the theory (collocation, colligation, and semantic association) were considered. The combinatory profile showed that: (1) different word choices were primed to constitute to a shared semantic association (2) no unique word combination containing the nodes was found, but high or low frequency use of particular clusters and collocates appearing at both sides to the node occurred; (3) it is claimed that the interpretation and explanation of priming similarities and differences between English and Chinese need to be extended to culture psychology.</p></abstract>
<kwd-group>
<kwd>lexical priming theory</kwd>
<kwd>English-Chinese contrast</kwd>
<kwd>culture psychology</kwd>
<kwd>collocation</kwd>
<kwd>semantic association</kwd>
<kwd>colligation</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="13"/>
<equation-count count="0"/>
<ref-count count="31"/>
<page-count count="17"/>
<word-count count="12233"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Since the late 1990&#x00027;s, Michael Hoey has been exploring the concept of colligation. Stemming from his exploration, the theory of lexical priming (LPT) was developed. This theory proposed a radical new theory of the lexicon, which amounts to completely new theory of language based on how words are used in real world. Hoey showed in his theory that the phenomenon of &#x0201C;collocation&#x0201D; offers a clue to the way language is really organized. The term &#x0201C;collocation&#x0201D; is normally treated as the fundamental concept of corpus linguistics. Among the few corpus linguists who have attempted to combine psychology and corpus data together, Hoey was the first one who asked why collocation&#x02014;the starting point of corpus linguistic research came into being. Per Hoey, collocation is a key factor in naturalness. It does not refer to the regular co-occurrence of words in close proximity to each other, but are words regularly associated in the mind. This psychological association contributes a text&#x00027;s cohesion (Halliday and Hasan, <xref ref-type="bibr" rid="B9">1976</xref>).</p>
<p>The pervasiveness of collocation requires explanation. It must be a psychological concept and the most appropriate psychological concept is &#x0201C;priming&#x0201D; (Hoey, <xref ref-type="bibr" rid="B10">2005</xref>). The term of priming was first used by Quillian in his series of papers published between 1961 and 1969. In these papers, priming was used to describe the process of what Quillian and other researchers named &#x0201C;retrieval from the semantic memory.&#x0201D; It was Neely (<xref ref-type="bibr" rid="B18">1976</xref>) who combined &#x0201C;priming&#x0201D; and &#x0201C;lexical&#x0201D; together. Prominent research by Scarborough et al. (<xref ref-type="bibr" rid="B26">1977</xref>, p. 14) mirrored and reinforced Neely&#x00027;s experiment in many respects, in that it showed that a prior presentation of a &#x0201C;stimulus word&#x0201D; (priming word) could affect the recognition speed of the later presentation (target word). Both Neely and Scarborough et al. seemed to indicate that a single exposure to a related word (or non-word) would be stored in one&#x00027;s head and, once the related trigger was given, a word belonging to the same semantic field would be retrieved from memory. The focus of this psycholinguistic discussion was the relationship between the prime and the target, &#x0201C;rather than the word <italic>per se</italic>&#x0201D; (Hoey, <xref ref-type="bibr" rid="B10">2005</xref>, p. 8). Hoey noted priming in his theory, calling it &#x0201C;a property of word and what is primed to occur is seen as shedding light upon the priming item rather than the other way round&#x0201D; (Hoey, <xref ref-type="bibr" rid="B10">2005</xref>). Halliday and Hasan referred to the process of collecting priming through encounters as forming a mental lexicon, but did not provide the underlying reason for why this phenomenon exists. Hoey (<xref ref-type="bibr" rid="B10">2005</xref>, p. 9) complemented Halliday and Hasan and explained some characteristics of priming in his theory:</p>
<disp-quote><p>Priming need[s] not be a permanent feature of the word or word sequence; in principle, indeed, it never is. Every time we use a word, and every time we encounter it anew, the experience either reinforces the priming by confirming an existing association between the word and its co-texts and contexts, or it weakens the priming, if the encounter introduces the word in an unfamiliar context or co-text or if we have chosen in our own use of it to override its current priming.</p></disp-quote>
<p>The definition of priming was quoted at length to demonstrate that Hoey&#x00027;s use of priming is distinct from that of some psycholinguists (e.g., Neely, <xref ref-type="bibr" rid="B18">1976</xref>; Scarborough et al., <xref ref-type="bibr" rid="B26">1977</xref>). Priming, in Hoey&#x00027;s theory, stresses the word itself (<italic>per se</italic>). There is no priming word to trigger a target word; priming exists at the moment an individual decides to use a word. While the attention in some of the psycholinguistic work is on the recognition effects of a particular prime on a particular target, LPT is more interested in the way the target may accumulate such primes.</p>
<p>Priming builds on insights gained from corpus linguistics, and applies the notion of psycholinguistics thereto. Psychology is invisible and works on a far subtler level than the reoccurrences of word patterns. However, by making an analogy between mental concordance and computer concordance, priming can be studied by examining corpus evidence to indicate &#x0201C;the kinds of data a language user might encounter in the course of being primed&#x0201D; (Hoey, <xref ref-type="bibr" rid="B10">2005</xref>, p. 14). Corpus cannot unveil how the head neurons work in the process of individual primings but indicates which primings are shared by large numbers of speakers in a language community. Indeed, psycholinguistics has shown corpus-based studies can provide results almost identical (&#x0003C;95%) to results obtained from psycholinguistic experiments (Gries, <xref ref-type="bibr" rid="B7">2005</xref>).</p>
<p>Priming is not conscious choices of language users. Yet it can be consciously strengthened, weakened, expanded or reassigned. As Pace-Sigge and Patternson (<xref ref-type="bibr" rid="B22">2017</xref>, p. xiv) summarized that &#x0201C;primings are prevalent but they are neither fixed or prescriptive: they reflect one&#x00027;s exposure and language use.&#x0201D; The idea of Hoey&#x00027;s lexical priming has been in existence for almost 20 years. It has provoked many researchers to expand and advance this theory in various dimensions (details to be proved in Section Literature review). The researchers are more likely to approach this psychological subliminal effect as a possible explanation for corpus-based studies. Priming is contextualized. The previous researchers seemed to restricted their studies within textual contexts. Since LPT has been always seeking to explain various linguistic phenomena from a psychological perspective, the context where primings depend on should be extended to psychological dimension. This paper is aimed at filling this theoretical gap by bringing the concept of culture in psychology into discussion. A cross-linguistic study was undertaken to uncover cross-culture variations in psychological processes. As a consequence of radical economic growth, culture has emerged as a critical concept. It has become a &#x0201C;de jour concept of the contemporary discourse around the world&#x0201D; (Kashima, <xref ref-type="bibr" rid="B15">2015</xref>, p. 1). It is regaining its place in psychology. The primary objective of psychology is to &#x0201C;describe, explain, predict, and understand human mind and behavior&#x0201D; (Kashima, <xref ref-type="bibr" rid="B15">2015</xref>, p. 2). Applying culture psychology to complement LPT from a cross-linguistic perspective can first extend the theory&#x00027;s ability of accounting for cross-linguistic similarities and differences; and, second, expand the concept of context, which defines one&#x00027;s priming.</p>
</sec>
<sec id="s2">
<title>Literature review</title>
<p>It has been more than 20 years since the 2005 publication of Hoey&#x00027;s lexical priming theory (LPT), since when various applications and expansions have been made to advance this theory in many dimensions. Expansions and advances have been provided either by applying the theory to a new linguistic field (e.g., spoken English, see Pace-Sigge, <xref ref-type="bibr" rid="B20">2013</xref>, <xref ref-type="bibr" rid="B21">2017</xref>) or to account for a linguistic phenomenon (e.g., metaphor, see Patterson, <xref ref-type="bibr" rid="B23">2016</xref>). A review of the literature applying LPT to languages other than English (e.g. Finnish, see Jantunen and Brunni, <xref ref-type="bibr" rid="B14">2013</xref>; Jantunen, <xref ref-type="bibr" rid="B13">2017</xref>; and Turks and Ottomans, see Baker et al., <xref ref-type="bibr" rid="B2">2017</xref>) implies that examining a language genetically different from English could generate new insights.</p>
<p>Although LPT has been applied and expanded by exploring English and other languages, it has not been fully explored and tested with Chinese, with Hoey and Shao (<xref ref-type="bibr" rid="B12">2015</xref>) being among the few researchers to address this issue. Through a preliminary study of several notions defined in LPT&#x02014;collocation, semantic association, and pragmatic association&#x02014;Hoey and Shao convincingly showed the possibility that the characteristic features of Chinese could be demonstrated with corpus and accounted for with psycholinguistic theory, such as LPT. However, they were not able to extend their study to either colligation or the integration between colligation and other conceptual notions. This article aims to fill this gap by examining the given lexical items at three contextual levels&#x02014;collocation, colligation, and semantic associations. The focus of this study is attempting to find evidence of this dependency relation in Chinese and then contrast the given nodes based on a combinatory profile, which have not been done in the literature of contrastive linguistics. Based on the results of the contrast, the present study also explored an aspect not yet tackled in neither psycholinguistics, corpus linguistics or contrastive studies, i.e., whether LPT could be adopted to account for the priming features between English and Chinese; and whether their characteristic features of priming can be accounted for by taking culture psychology into consideration. The specific research questions in focus are:</p>
<list list-type="order">
<list-item><p>What are the differences and similarities of collocational, semantic associational, and colligational primings between English and Chinese?</p></list-item>
<list-item><p>To what extent can culture psychology approach to the description of the priming features demonstrated cross-linguistically?</p></list-item>
</list>
</sec>
<sec id="s3">
<title>Research methodology</title>
<sec>
<title>The research nodes</title>
<p>The nodes of <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic> were chosen. The reasons are 3-fold. First, <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic> occur with a similar frequency in the two languages, with <italic>world</italic> occurring in the British National Corpus 520.94 times per million running words and &#x04E16;&#x0754C; <italic>shi4jie4</italic> occurring 512.45 times per million running words in zhTenTen11. The frequent use of the nodes in the two corpora implies numerous concordance lines will be found in various cases, which could offer ample data for its potential encounterable instances. Second, the body senses of <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic> are shared by speakers of the two languages. They use the nodes to describe not only the material or profane sphere but also the celestial, spiritual, transcendent, or sacred spheres. The similar understanding of the external and spiritual world inherited by the two groups of speakers may demonstrate, to a large extent, similar senses embedded within <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic>. The nodes of <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic> are likely to be culture-independent items whose semantic associations and prosodies are unlikely to be presumably identified for culture influence. Third, the nodes to be examined do not have multiple translational alternatives. The node pair of <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic> is highly equivalent to each other in terms of both literal and figurative meaning.</p>
<p>One of the research aims for many contrast linguists is to disclose some of the options people employ in the ways they conceptualize the world. They studied situations that are quasi-universal where different language speakers are exposed to. In the present study, the word &#x0201C;world&#x0201D; itself was chosen and studied from a cross-linguistic perspective. Results obtained in this respect will be more potential in the respect of underlying similarities and dissimilarities of conceptualization between English and Chinese.</p>
</sec>
<sec>
<title>The corpora</title>
<p>Two kinds of corpora were used in the study. The first was reference corpora, including the British National Corpus (BNC) and the zhTenTen11 corpus, which were adopted to provide quantitative data. The BNC, created by Oxford University Press and completed in 1994, contains a 100-million-word collection of written and spoken samples drawn from a wide range of genres (e.g., fiction, magazines, newspapers, academia). The zhTenTen11 is a simplified modern Chinese corpus containing almost 2.6 million documents with more than 1.7 billion words in over 72 million sentences. The two reference corpora are freely available on the Sketch Engine website (<ext-link ext-link-type="uri" xlink:href="https://auth.sketchengine.eu/">https://auth.sketchengine.eu/</ext-link>).</p>
<p>The second kind was comparable corpora, including the Freiburg-LOB corpus of British English (henceforth FLOB) and the Lancaster Corpus of Mandarin Chinese (henceforth LCMC), which were applied to provide qualitative data. Having equivalent numbers of tokens and a similar sampling method, FLOB and LCMC were initially established for the cross-linguistic study of English and Chinese. English-Chinese cross-linguists have widely used the two corpora to examine numerous linguistic features (e.g., Xiao and McEnery, <xref ref-type="bibr" rid="B29">2006</xref>, <xref ref-type="bibr" rid="B30">2010</xref>).</p>
<p>A representative but manageable sample of instances was retrieved from the comparable corpora to investigate the potential colligations of <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic>. The instances were first coded by grammatical function (Subject, Object, Complement, or Adjunct) and then by their position in a nominal group (noun head, part of premodification, or part of postmodification).</p>
</sec>
<sec>
<title>Research tools</title>
<p>In this study, two corpora analyzing tools were used: One was AntConc (3.5.9), freely downloadable software whose functions are all workable for Chinese. The other analytic tool was Sketch Engine, an ultimate corpus tool to create and search text corpora in many languages. In addition to its large capacity for corpora of different languages, Sketch Engines&#x00027; new but a very reasonable statistic association score (LogDice) gives very good results for collocation candidates in a large corpus, focusing on the co-selecting strength of the node word and its collocates. LogDice is arguably &#x0201C;more reliable since it will not be biased by either too-high or too-low frequency of the items in the query&#x0201D; (Rychl&#x000FD;, <xref ref-type="bibr" rid="B25">2008</xref> cited in Hoey and Shao, <xref ref-type="bibr" rid="B12">2015</xref>, p. 23).</p>
</sec>
<sec>
<title>The research method</title>
<p>Both quantitative and qualitative methods were applied in this study. The former included the large concordance lines and statistics provided and calculated by Sketch Engine, and, the latter, the sampling instances retrieved from the comparable corpora. As mentioned in Section The corpora, each instance was coded with different grammatical categories, and then their frequencies and probabilities were calculated and compared. The research procedure is detailed below.</p>
<p>First, the general collocational behavior of <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic> was examined and compared. I explored and compared the pair&#x00027;s collocation and semantic associations, and then studied the clusters containing the nodes. Their collocates and semantic association actualized thereby were also examined. At last, I investigated the node pair&#x00027;s general colligational behavior; i.e., their preferences/avoidances<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> for particular grammatical functions and positions.</p>
</sec>
</sec>
<sec id="s4">
<title>Findings and discussions</title>
<sec>
<title>The contrast of overall collocational and semantic associational behavior between <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic></title>
<p>As has been discussed previously, Hoey&#x00027;s LPT intended to pick up the fact that collocation is a psycholinguistic phenomenon. Collocation, in his theory, is defined as &#x0201C;...a psychological association between words (rather than lemmas) up to four words apart and is evidenced by their occurrence together in corpora more often than is explicable in terms of random distribution&#x0201D; (Hoey, <xref ref-type="bibr" rid="B10">2005</xref>, p. 5). Assuming that lexical priming shall not only operate regarding collocations and that a regular kind of lexical priming shall be considered, Hoey used &#x0201C;semantic association&#x0201D; to talk about the psychological preference on the part of the language user. It is defined as &#x0201C;...a word or word sequence is associated in the mind of a language user with a semantic set or class, some members of which are also collocates for that user&#x0201D; (Hoey, <xref ref-type="bibr" rid="B10">2005</xref>, p. 24). According to Hoey, semantic association is a necessary generalization and could account for co-occurrences that cannot be explained in terms of collocation.</p>
<p>The present research began by retrieving a concordance of <italic>world</italic> with a span of four words to the left and right sides. A total of 58,496 instances were found in the BNC corpus, with 520.94 occurrences per million running words. Analyzing these 58,496 instances in Sketch Engine, I found a greater consistency of patterning and sets of variables to the left of the collocation than to its right. Since collocates at the R3/R4 position (the third/fourth position to the right of the node word) and L4 (the fourth position to the left of the node word) of <italic>world</italic> were too sparse to collect, they were not distributed in this article.</p>
<p>The collocates of the node word <italic>world</italic> were displayed in descending order of their LogDice scores; due to page limits, not all collocates were displayed.</p>
<p>At the L1 position, we can broadly group a set of words, including <italic>Third, Second, First, third</italic> and <italic>second</italic>, into a semantic association of RANK and the words <italic>Western</italic> and <italic>Arab</italic> into a semantic association of AREAS. At the L2 position, the collocates were dominated by prepositional words (which is also colligational behavior), including <italic>around, throughout, outside, over, in, of</italic>, <italic>round, across</italic>, and <italic>into</italic>, which showed that <italic>world</italic> was likely to appear in the form of frequent phrases. Although better categorized as grammatical words, these collocates could also be grouped into a semantic association of POSITIONING IN LOCATION (e.g., <italic>around, outside, in</italic>). The prepositions of <italic>during</italic> and <italic>after</italic>&#x02014;not shown in the table, but still a frequent collocate at the L2 position of <italic>world</italic>, with a LogDice score of 5.074&#x02014;seemed to be associated with a semantic meaning of POSITIONING IN TIME. At the L3 position, the collocates were accumulated to form three kinds of semantic meaning. The first one was that of POSITIONING IN LOCATION, represented by members of <italic>parts, anywhere, Western</italic>. The second one is that of RANK, represented by ordinal words of <italic>second, third</italic>, etc. The third one is that of SUPERLATIVE, made up of words, such as <italic>best, largest</italic>, etc. Then I continued the examination on &#x04E16;&#x0754C; <italic>shi4jie4</italic>. There were 1,079,563 instances of &#x04E16;&#x0754C; <italic>shi4jie4</italic> in the zhTenTen11 corpus. The data demonstrated by the Sketch Engine indicated a greater consistency of patterning and sets of variables to the right collocates of &#x04E16;&#x0754C; <italic>shi4jie4</italic> than to its left. Since collocates at the L4 position of it were too sparse, they were not included in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Left collocates of &#x04E16;&#x0754C; <italic>shi4jie4</italic>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="center" colspan="4" style="border-bottom: thin solid #000000;"><bold>L1</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>L2</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>L3</bold></th>
</tr>
<tr>
<th valign="top" align="left"><bold>Rank</bold></th>
<th valign="top" align="left"><bold>Collocate</bold></th>
<th/>
<th valign="top" align="center"><bold>LogDice</bold></th>
<th valign="top" align="left"><bold>Collocate</bold></th>
<th/>
<th valign="top" align="center"><bold>LogDice</bold></th>
<th valign="top" align="left"><bold>Collocate</bold></th>
<th/>
<th valign="top" align="center"><bold>LogDice</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">&#x05168;</td>
<td valign="top" align="left">All</td>
<td valign="top" align="center">8.799</td>
<td valign="top" align="left">&#x06210;&#x04E3A;</td>
<td valign="top" align="left">Become</td>
<td valign="top" align="center">8.456</td>
<td valign="top" align="left">&#x08FD9;&#x04E2A;</td>
<td valign="top" align="left">This</td>
<td valign="top" align="center">8.195</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">&#x05F53;&#x04ECA;</td>
<td valign="top" align="left">Today</td>
<td valign="top" align="center">8.579</td>
<td valign="top" align="left">&#x08D70;&#x05411;</td>
<td valign="top" align="left">Walk to</td>
<td valign="top" align="center">8.208</td>
<td valign="top" align="left">&#x04E2D;&#x056FD;</td>
<td valign="top" align="left">China</td>
<td valign="top" align="center">7.685</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">&#x08D70;&#x05411;</td>
<td valign="top" align="left">Walk to</td>
<td valign="top" align="center">8.127</td>
<td valign="top" align="left">&#x08FD9;&#x04E2A;</td>
<td valign="top" align="left">This</td>
<td valign="top" align="center">8.055</td>
<td valign="top" align="left">&#x06211;&#x056FD;</td>
<td valign="top" align="left">Our country</td>
<td valign="top" align="center">6.824</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">&#x06210;&#x04E3A;</td>
<td valign="top" align="left">Become</td>
<td valign="top" align="center">8.105</td>
<td valign="top" align="left">&#x04E43;&#x081F3;</td>
<td valign="top" align="left">And even</td>
<td valign="top" align="center">7.656</td>
<td valign="top" align="left">&#x05DF2;</td>
<td valign="top" align="left">Has</td>
<td valign="top" align="center">6.792</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">&#x08FD9;&#x04E2A;</td>
<td valign="top" align="left">This</td>
<td valign="top" align="center">7.953</td>
<td valign="top" align="left">&#x05C45;</td>
<td valign="top" align="left">Rank</td>
<td valign="top" align="center">7.605</td>
<td valign="top" align="left">&#x08BA9;</td>
<td valign="top" align="left">Let</td>
<td valign="top" align="center">6.703</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">&#x05C45;</td>
<td valign="top" align="left">Rank</td>
<td valign="top" align="center">7.589</td>
<td valign="top" align="left">&#x06765;&#x081EA;</td>
<td valign="top" align="left">Come from</td>
<td valign="top" align="center">7.516</td>
<td valign="top" align="left">&#x04F5C;&#x04E3A;</td>
<td valign="top" align="left">As</td>
<td valign="top" align="center">6.566</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">&#x06765;&#x081EA;</td>
<td valign="top" align="left">Come from</td>
<td valign="top" align="center">7.318</td>
<td valign="top" align="left">&#x05411;</td>
<td valign="top" align="left">Toward</td>
<td valign="top" align="center">7.29</td>
<td valign="top" align="left">&#x062E5;&#x06709;</td>
<td valign="top" align="left">Own</td>
<td valign="top" align="center">6.526</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">&#x04E43;&#x081F3;</td>
<td valign="top" align="left">Reach to</td>
<td valign="top" align="center">7.231</td>
<td valign="top" align="left">&#x07B2C;&#x04E8C;</td>
<td valign="top" align="left">Second</td>
<td valign="top" align="center">7.002</td>
<td valign="top" align="left">&#x08BA4;&#x08BC6;</td>
<td valign="top" align="left">To know</td>
<td valign="top" align="center">6.519</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">&#x06574;&#x04E2A;</td>
<td valign="top" align="left">Whole</td>
<td valign="top" align="center">7.191</td>
<td valign="top" align="left">&#x09762;&#x05411;</td>
<td valign="top" align="left">Turn toward</td>
<td valign="top" align="center">6.969</td>
<td valign="top" align="left">&#x05BF9;</td>
<td valign="top" align="left">For</td>
<td valign="top" align="center">6.501</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">&#x05C4A;</td>
<td valign="top" align="left">A classifier of period</td>
<td valign="top" align="center">7.12</td>
<td valign="top" align="left">&#x07B2C;&#x04E09;</td>
<td valign="top" align="left">Third</td>
<td valign="top" align="center">6.926</td>
<td valign="top" align="left">&#x06539;&#x09020;</td>
<td valign="top" align="left">Transform</td>
<td valign="top" align="center">6.469</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="left">&#x05360;</td>
<td valign="top" align="left">Take</td>
<td valign="top" align="center">7.021</td>
<td valign="top" align="left">&#x05728;</td>
<td valign="top" align="left">In/at/on/around</td>
<td valign="top" align="center">6.861</td>
<td valign="top" align="left">&#x06539;&#x053D8;</td>
<td valign="top" align="left">Change</td>
<td valign="top" align="center">6.46</td>
</tr>
<tr>
<td valign="top" align="left">12</td>
<td valign="top" align="left">&#x05185;&#x05FC3;</td>
<td valign="top" align="left">Mind</td>
<td valign="top" align="center">6.943</td>
<td valign="top" align="left">&#x0662F;</td>
<td valign="top" align="left">BE</td>
<td valign="top" align="center">6.81</td>
<td valign="top" align="left">&#x0897F;&#x065B9;</td>
<td valign="top" align="left">Western</td>
<td valign="top" align="center">6.366</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>At the L1 position, a semantic set, including the frequently occurring member &#x076EE;&#x0524D; <italic>mu4qian2</italic> (at present) (6.919) and the less-frequently occurring member (not distributed in the table)  &#x05F53;&#x065F6; <italic>dang1shi4</italic> (at that time) (4.996), was grouped into a semantic association of TIME. At the L2 position, a series of ordinal words [e.g., &#x07B2C;&#x04E8C; <italic>di4er4</italic> (second) and &#x07B2C;&#x04E09; <italic>di4san1</italic> (third) and verbs (e.g., &#x04E43;&#x081F3; <italic>nai3zhi4</italic> (reach to) and &#x05C45; <italic>ju1</italic> (rank)] formed a meaning associated with RANK. Collocates at the L3 position to  &#x04E16;&#x0754C; <italic>shi4jie4</italic> seemed to be associated with a semantic meaning of CHANGE [e.g., &#x06539;&#x09020; <italic>gai3zao4</italic> (transform) and &#x06539;&#x053D8; <italic>gai3bian4</italic> (change)], and REGION [e.g., &#x04E2D;&#x056FD; <italic>zhong1guo2</italic> (China), &#x06211;&#x056FD; <italic>wo3guo2</italic> (our country), and &#x0897F;&#x065B9; <italic>xi1fang1</italic> (Western)].</p>
<p>At the L1 position, <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic> shared the collocates of <italic>whole</italic>/&#x05168; <italic>quan2</italic> (or &#x06574;&#x04E2A; <italic>zheng3ge4</italic>) (whole) and <italic>today&#x00027;s</italic>/&#x05F53;&#x04ECA; <italic>dang1jin1</italic> (today&#x00027;s). A slight difference was that <italic>today&#x00027;s</italic> had a lower collocational strength of co-occurring with <italic>world</italic> and thus is not distributed in <xref ref-type="table" rid="T2">Table 2</xref>; however, it also belonged to the semantic association of POSITIONING IN TIME of <italic>world</italic>.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>The left collocates of <italic>world</italic>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>L1</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>L2</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>L3</bold></th>
</tr>
<tr>
<th valign="top" align="left"><bold>Rank</bold></th>
<th valign="top" align="left"><bold>Collocate</bold></th>
<th valign="top" align="center"><bold>LogDice</bold></th>
<th valign="top" align="left"><bold>Collocate</bold></th>
<th valign="top" align="center"><bold>LogDice</bold></th>
<th valign="top" align="left"><bold>Collocate</bold></th>
<th valign="top" align="center"><bold>LogDice</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Third</td>
<td valign="top" align="center">9.616</td>
<td valign="top" align="left">Around</td>
<td valign="top" align="center">9.616</td>
<td valign="top" align="left">Parts</td>
<td valign="top" align="center">7.853</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Second</td>
<td valign="top" align="center">9.503</td>
<td valign="top" align="left">Throughout</td>
<td valign="top" align="center">9.503</td>
<td valign="top" align="left">Rest</td>
<td valign="top" align="center">7.793</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">First</td>
<td valign="top" align="center">8.832</td>
<td valign="top" align="left">Outside</td>
<td valign="top" align="center">8.832</td>
<td valign="top" align="left">All</td>
<td valign="top" align="center">6.905</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Real</td>
<td valign="top" align="center">8.071</td>
<td valign="top" align="left">Over</td>
<td valign="top" align="center">8.071</td>
<td valign="top" align="left">Anywhere</td>
<td valign="top" align="center">6.708</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Outside</td>
<td valign="top" align="center">8.032</td>
<td valign="top" align="left">In</td>
<td valign="top" align="center">8.032</td>
<td valign="top" align="left">Countries</td>
<td valign="top" align="center">6.339</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Arab</td>
<td valign="top" align="center">8.025</td>
<td valign="top" align="left">Of</td>
<td valign="top" align="center">8.025</td>
<td valign="top" align="left">Best</td>
<td valign="top" align="center">6.304</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Whole</td>
<td valign="top" align="center">7.311</td>
<td valign="top" align="left">Round</td>
<td valign="top" align="center">7.311</td>
<td valign="top" align="left">End</td>
<td valign="top" align="center">6.125</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">The</td>
<td valign="top" align="center">7.294</td>
<td valign="top" align="left">Across</td>
<td valign="top" align="center">7.294</td>
<td valign="top" align="left">Largest</td>
<td valign="top" align="center">6.033</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Modern</td>
<td valign="top" align="center">7.099</td>
<td valign="top" align="left">Into</td>
<td valign="top" align="center">7.099</td>
<td valign="top" align="left">Modern</td>
<td valign="top" align="center">7.099</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">New</td>
<td valign="top" align="center">6.781</td>
<td valign="top" align="left">During</td>
<td valign="top" align="center">6.781</td>
<td valign="top" align="left">New</td>
<td valign="top" align="center">6.781</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="left">Third</td>
<td valign="top" align="center">6.677</td>
<td/>
<td/>
<td valign="top" align="left">Third</td>
<td valign="top" align="center">6.677</td>
</tr>
<tr>
<td valign="top" align="left">12</td>
<td valign="top" align="left">Western</td>
<td valign="top" align="center">6.67</td>
<td/>
<td/>
<td valign="top" align="left">Western</td>
<td valign="top" align="center">6.670</td>
</tr>
<tr>
<td valign="top" align="left">13</td>
<td valign="top" align="left">Natural</td>
<td valign="top" align="center">6.63</td>
<td/>
<td/>
<td valign="top" align="left">Natural</td>
<td valign="top" align="center">6.630</td>
</tr>
<tr>
<td valign="top" align="left">14</td>
<td valign="top" align="left">Developing</td>
<td valign="top" align="center">6.572</td>
<td/>
<td/>
<td valign="top" align="left">Developing</td>
<td valign="top" align="center">6.572</td>
</tr>
<tr>
<td valign="top" align="left">15</td>
<td valign="top" align="left">Second</td>
<td valign="top" align="center">6.548</td>
<td/>
<td/>
<td valign="top" align="left">Second</td>
<td valign="top" align="center">6.548</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Next, we consider the second position to the left side of <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic>. <xref ref-type="table" rid="T2">Table 2</xref> reveals that prepositions predominantly occupied the L2 position of <italic>world</italic>; this phenomenon also occurred at the L2 position of &#x04E16;&#x0754C; <italic>shi4jie4</italic>. Chinese is not a language with many variants of prepositions. T &#x05728; <italic>zai4</italic> at L2 to &#x04E16;&#x0754C; <italic>shi4jie4</italic> could be treated as equivalent to different prepositions in English. Thus, we could conclude that &#x04E16;&#x0754C; <italic>shi4jie4</italic> had a strong colligational preference for occurring with prepositions at the L2 position, in the same way as did <italic>world</italic>.</p>
<p>In addition to the colligational behavior of co-occurring with prepositions, we discovered that &#x04E16;&#x0754C; <italic>shi4jie4</italic> was likely to occur with ordinal items, such as &#x07B2C;&#x04E8C; <italic>di4er4</italic> (second) and &#x07B2C;&#x04E09; <italic>di4san1</italic> (third), at the L2 position. These lexical items occurred at the L2 position to &#x04E16;&#x0754C; <italic>shi4jie4</italic> rather than at the L1 position (as they did with <italic>world)</italic> simply because the classifier &#x06B21; <italic>ci4</italic> occurred between them. In Chinese, &#x07B2C;&#x04E8C;&#x06B21; <italic>di4er4ci4</italic> and &#x07B2C;&#x04E8C;&#x06B21; <italic>di4san1ci4</italic> are fixed co-occurrences that correspond to the word combinations <italic>the second</italic> and <italic>the third</italic>, respectively, in English.</p>
<p>Next, we looked at collocates on the right sides of the pair. Because the collocates to the right side of <italic>world</italic> are too sparse to generalize a semantic meaning, the comparison of right side collocates was only restricted to the two-word span. The collocates at R1 and R2 positions are distributed in <xref ref-type="table" rid="T3">Tables 3</xref>, <xref ref-type="table" rid="T4">4</xref>.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>The right collocates of <italic>world</italic>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>R1</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>R2</bold></th>
</tr>
<tr>
<th valign="top" align="left"><bold>Rank</bold></th>
<th valign="top" align="left"><bold>Collocate</bold></th>
<th valign="top" align="center"><bold>LogDice</bold></th>
<th valign="top" align="left"><bold>Collocate</bold></th>
<th valign="top" align="center"><bold>LogDice</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">War</td>
<td valign="top" align="center">10.706</td>
<td valign="top" align="left">II</td>
<td valign="top" align="center">10.706</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Cup</td>
<td valign="top" align="center">9.998</td>
<td valign="top" align="left">Title</td>
<td valign="top" align="center">9.998</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Bank</td>
<td valign="top" align="center">8.648</td>
<td valign="top" align="left">Countries</td>
<td valign="top" align="center">8.648</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Champion</td>
<td valign="top" align="center">7.560</td>
<td valign="top" align="left">Championship</td>
<td valign="top" align="center">7.56</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">War</td>
<td valign="top" align="center">7.478</td>
<td valign="top" align="left">Market</td>
<td valign="top" align="center">7.478</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Largest</td>
<td valign="top" align="center">7.360</td>
<td valign="top" align="left">Championship</td>
<td valign="top" align="center">7.36</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Trade</td>
<td valign="top" align="center">6.886</td>
<td valign="top" align="left">Economy</td>
<td valign="top" align="center">6.886</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Countries</td>
<td valign="top" align="center">6.876</td>
<td valign="top" align="left">Championships</td>
<td valign="top" align="center">6.876</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Health</td>
<td valign="top" align="center">6.766</td>
<td valign="top" align="left">Champions</td>
<td valign="top" align="center">6.766</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Economy</td>
<td valign="top" align="center">6.702</td>
<td valign="top" align="left">Where</td>
<td valign="top" align="center">6.702</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="left">Broadcasts</td>
<td valign="top" align="center">6.683</td>
<td valign="top" align="left">Biggest</td>
<td valign="top" align="center">6.693</td>
</tr>
<tr>
<td valign="top" align="left">12</td>
<td valign="top" align="left">Title</td>
<td valign="top" align="center">6.651</td>
<td valign="top" align="left">Most</td>
<td valign="top" align="center">6.651</td>
</tr>
<tr>
<td valign="top" align="left">13</td>
<td valign="top" align="left">Market</td>
<td valign="top" align="center">6.693</td>
<td valign="top" align="left">Which</td>
<td valign="top" align="center">6.585</td>
</tr>
<tr>
<td valign="top" align="left">14</td>
<td valign="top" align="left">Champions</td>
<td valign="top" align="center">6.585</td>
<td valign="top" align="left">Championship</td>
<td valign="top" align="center">6.477</td>
</tr>
<tr>
<td valign="top" align="left">15</td>
<td valign="top" align="left">Championship</td>
<td valign="top" align="center">6.477</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Right collocates of &#x04E16;&#x0754C; <italic>shi4jie4</italic>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th style="border-bottom: thin solid #000000;"></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>R1</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>R2</bold></th>
</tr>
<tr>
<th valign="top" align="left"><bold>Rank</bold></th>
<th/>
<th valign="top" align="left"><bold>Collocate</bold></th>
<th valign="top" align="center"><bold>LogDice</bold></th>
<th/>
<th valign="top" align="left"><bold>Collocate</bold></th>
<th valign="top" align="center"><bold>LogDice</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">&#x04E00;&#x06D41;</td>
<td valign="top" align="left">First</td>
<td valign="top" align="center">8.195</td>
<td valign="top" align="left">&#x04E00;&#x06D41;</td>
<td valign="top" align="left">First</td>
<td valign="top" align="center">8.015</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">&#x0516C;&#x08BA4;</td>
<td valign="top" align="left">Recognized</td>
<td valign="top" align="center">7.685</td>
<td valign="top" align="left">&#x0516C;&#x08BA4;</td>
<td valign="top" align="left">Recognized</td>
<td valign="top" align="center">7.891</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">&#x05927;&#x06218;</td>
<td valign="top" align="left">War</td>
<td valign="top" align="center">6.824</td>
<td valign="top" align="left">&#x06700;</td>
<td valign="top" align="left">Most</td>
<td valign="top" align="center">7.602</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">&#x04E0A;</td>
<td valign="top" align="left">Up</td>
<td valign="top" align="center">6.792</td>
<td valign="top" align="left">&#x08457;&#x0540D;</td>
<td valign="top" align="left">Famous</td>
<td valign="top" align="center">7.344</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">&#x08457;</td>
<td valign="top" align="left">Famous</td>
<td valign="top" align="center">6.703</td>
<td valign="top" align="left">&#x0552F;&#x04E00;</td>
<td valign="top" align="left">Only</td>
<td valign="top" align="center">7.3</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">&#x095FB;&#x0540D;</td>
<td valign="top" align="left">Renowned</td>
<td valign="top" align="center">6.566</td>
<td valign="top" align="left">&#x05927;&#x06218;</td>
<td valign="top" align="left">War</td>
<td valign="top" align="center">7.255</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">&#x0548C;&#x05E73;</td>
<td valign="top" align="left">Peace</td>
<td valign="top" align="center">6.526</td>
<td valign="top" align="left">&#x04E0A;</td>
<td valign="top" align="left">Up</td>
<td valign="top" align="center">7.164</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">&#x09876;&#x07EA7;</td>
<td valign="top" align="left">Top</td>
<td valign="top" align="center">6.519</td>
<td valign="top" align="left">&#x06700;&#x065E9;</td>
<td valign="top" align="left">The earliest</td>
<td valign="top" align="center">7.038</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">&#x0672B;&#x065E5;</td>
<td valign="top" align="left">End</td>
<td valign="top" align="center">6.501</td>
<td valign="top" align="left">&#x09057;&#x04EA7;</td>
<td valign="top" align="left">Heritage</td>
<td valign="top" align="center">6.58</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">&#x077E5;&#x0540D;</td>
<td valign="top" align="left">Well-known</td>
<td valign="top" align="center">6.469</td>
<td valign="top" align="left">&#x0548C;&#x05E73;</td>
<td valign="top" align="left">Peace</td>
<td valign="top" align="center">6.506</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="left">&#x09886;&#x05148;</td>
<td valign="top" align="left">Leading</td>
<td valign="top" align="center">6.46</td>
<td valign="top" align="left">&#x09876;&#x07EA7;</td>
<td valign="top" align="left">Top</td>
<td valign="top" align="center">6.449</td>
</tr>
<tr>
<td valign="top" align="left">12</td>
<td valign="top" align="left">500</td>
<td/>
<td valign="top" align="center">6.366</td>
<td valign="top" align="left">&#x095FB;&#x0540D;</td>
<td valign="top" align="left">Renowned</td>
<td valign="top" align="center">6.401</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>At the R1 position of <italic>world</italic>, the collocates with higher LogDice scores were <italic>war, Cup, Bank, Champion, war, largest, trade, countries, Health, economy, Broadcast, title, market, champions</italic>, and <italic>championship</italic>. These collocates showed a semantic association that might be labeled as COMPETITION, represented by the words <italic>cup, Champion, champions</italic>, and <italic>championship</italic>; ECONOMY, represented by <italic>Bank, trade, economy</italic>, and <italic>market</italic>; and RANK, dominantly represented by the superlative <italic>largest</italic> and supplemented by members with lower LogDice scores, such as <italic>biggest</italic> (6.324), <italic>greatest</italic> (5.776), and <italic>oldest</italic> (4.588). At the R2 position, three semantic associations could be grouped, including COMPETITION, represented by the words <italic>Champion, Championship</italic>, and <italic>champions;</italic> ECONOMY, represented by <italic>market</italic> and <italic>economy</italic>; and RANK, represented by the superlatives <italic>biggest</italic> and <italic>most</italic>.</p>
<p>We now turn to the right side collocates of &#x04E16;&#x0754C; <italic>shi4jie4</italic>. Unlike collocates occurring at the R1 position for <italic>world</italic>, the top R1 collocates of &#x04E16;&#x0754C; <italic>shi4jie4</italic> demonstrated more variants, which were predominantly made up of adjectives, such as &#x04E00;&#x06D41; <italic>yi1liu2</italic> (first), &#x0516C;&#x08BA4; <italic>gong1ren4</italic> (universally acknowledged), &#x08457;&#x0540D; <italic>zhu4ming2</italic> (famous), &#x095FB;&#x0540D; <italic>wen2ming2</italic> (renowned), and so forth. These candidates were generalized into semantic associations, such as FAME, represented by words of &#x0516C;&#x08BA4; <italic>gong1ren3</italic> (recognized by the public), &#x08457;&#x0540D; <italic>zhu4ming2</italic> (famous), &#x095FB;&#x0540D; <italic>wen2ming2</italic> (renowned), and &#x077E5;&#x0540D; <italic>zhi1ming2</italic> (well-known), and FIRST CLASS, represented by &#x04E00;&#x06D41; <italic>yi1liu2</italic> (first), &#x09886;&#x05148; <italic>ling3xian1</italic> (leading), &#x09876;&#x07EA7; <italic>ding3ji2</italic> (the best, the top), and <italic>500</italic> (indicating the top 500 enterprises in the world).</p>
<p>The frequent collocates of &#x04E16;&#x0754C; <italic>shi4jie4</italic> at the R2 position were mostly shared by <italic>world</italic> at its R1 position. This might be attributable to the frequent occurrence of &#x04E0A; <italic>shang4</italic> (a character normally used after a noun in Chinese to specify a limit or boundary) at the R1 position. Together with &#x04E16;&#x0754C; <italic>shi4jie4</italic>, &#x04E0A; <italic>shang4</italic> forms a typical, frequently occurring phrase, &#x04E16;&#x0754C;&#x04E0A; <italic>shi4jie4shang4</italic>, which corresponds to the frequently occurring English phrase, <italic>in the world</italic>, in most contexts. In addition to these shared collocational members, collocates appearing at the R2 position of &#x04E16;&#x0754C; <italic>shi4jie4</italic> were likely to be colligated (and collocated) with RANK, represented by &#x06700; <italic>zui4</italic> (most) <italic>and</italic> &#x06700;&#x065E9; <italic>zui4zao3</italic> (earliest).</p>
<p>Comparing collocates at different positions to the node pair indicated that a similar semantic meaning might be presented with different collocates in the two languages. The collocates could differentiate in terms of their positions (e.g., left or right) relative to the nodes and distance (e.g., number of tokens) from the nodes. For example, the two nodes share a semantic meaning of RANK. However, the collocates contributing to this meaning occurred respectively at the L1 position to <italic>world</italic> and the L2 position to &#x04E16;&#x0754C; <italic>shi4jie</italic>.</p>
</sec>
<sec>
<title>The contrast of clusters in respect of their collocational and semantic associational behaviors</title>
<p>As shown in previous tables, the node pair <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic> co-occurred with certain other words to form a certain semantic meaning. The clusters or word sequences made up of the words become loaded with the contexts and co-texts in which they occur. This is defined as &#x0201C;nesting&#x0201D; by Hoey (<xref ref-type="bibr" rid="B10">2005</xref>, p. 8), &#x0201C;where the product of a priming becomes itself primed in ways that did not apply to the individual words making up the combination.&#x0201D; According to the definition, a cluster may sometimes have specific collocations not shared by its component(s). For example, <italic>winter</italic> collocates with <italic>in</italic>, thus producing a phrase of <italic>in winter</italic>. But this phrase has its own collocations, separate from <italic>in</italic> and <italic>winter</italic>. In this section, I will observe two frequently used clusters containing <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic>, respectively. Their collocations and semantic associations with both sides are also considered.</p>
<p>Sketching clusters of <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic> within a four-word span yielded several instances. Among the whole, I selected the first two clusters (data were filtered according to the parameter of running words per million) as the focus of the study, namely, <italic>in the world</italic> (5,925 hits with 52.74 running words per million), <italic>the second world war</italic> (1,544 hits with 13.74 running words per million); and &#x04E16;&#x0754C;&#x04E0A; <italic>shi4jie4shang4</italic> (in the world) (323,588 hits with 19.5 running words per million), &#x04E16;&#x0754C;&#x05404;&#x05730; <italic>shi4jie4ge4di4</italic> (every corner of the world) (194,045 hits with 11.69 running words per million). As evidenced by the MC value<xref ref-type="fn" rid="fn0002"><sup>2</sup></xref> (53%), the English <italic>in the world</italic> has a very strong tendency to correspond to &#x04E16;&#x0754C;&#x04E0A; <italic>shi4jie4shang</italic> in Chinese. In the present study, we treat <italic>in the world</italic> and &#x04E16;&#x0754C;&#x04E0A; <italic>shi4jie4shang</italic> as highly translatable to each other.</p>
<sec>
<title>The collocations of <italic>in the world</italic></title>
<p><xref ref-type="table" rid="T5">Table 5</xref> shows that all but two of the collocates of <italic>in the world</italic> formed a semantic association of SUPERLATIVE (and also a colligation) made up of words, such as <italic>largest, biggest</italic>, best, <italic>greatest, finest, richest, oldest</italic>, and <italic>most</italic>. The tendency of <italic>in the world</italic> to occur with SUPERLATIVE was far stronger than that of the single-node word <italic>world</italic>. As noted previously, SUPERLATIVE was also a kind of colligation. Although we will exert a section to discuss the colligational behavior of <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic>, at this stage, we will talk about the preferences/aversions of the two clusters at the nominal group level, while leaving other colligational characteristics aside.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>The collocates of <italic>in the world</italic> within a four-word span.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Rank</bold></th>
<th valign="top" align="left"><bold>Collocates</bold></th>
<th valign="top" align="center"><bold>Frequency</bold></th>
<th valign="top" align="center"><bold>LogDice score</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Anywhere</td>
<td valign="top" align="center">230</td>
<td valign="top" align="center">9.588</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Largest</td>
<td valign="top" align="center">222</td>
<td valign="top" align="center">9.287</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Cup</td>
<td valign="top" align="center">159</td>
<td valign="top" align="center">8.622</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Biggest</td>
<td valign="top" align="center">122</td>
<td valign="top" align="center">8.581</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Best</td>
<td valign="top" align="center">453</td>
<td valign="top" align="center">8.568</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Greatest</td>
<td valign="top" align="center">102</td>
<td valign="top" align="center">8.269</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Finest</td>
<td valign="top" align="center">67</td>
<td valign="top" align="center">8.171</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Richest</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">8.05</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Oldest</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">7.985</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Most</td>
<td valign="top" align="center">672</td>
<td valign="top" align="center">7.876</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Using the &#x0201C;getting a randomized sample&#x0201D; function on Sketch Engine, we obtained a sample of 1,000 instances containing <italic>in the world</italic>. The qualitative annotation showed that <italic>in the world</italic> has a strong preference (73%) for occurring as a postmodification in a nominal group.</p></sec>
<sec>
<title>The collocations of &#x04E16;&#x0754C;&#x04E0A; <italic>shi4jie4shang4 (in the world)</italic></title>
<p>Examining the collocates occurring immediately within the four-word span (see <xref ref-type="table" rid="T6">Table 6</xref>) to the node cluster, we found the typical meaning associated with it was also SUPERLATIVE, composed by collocates such as &#x06700;&#x0957F; <italic>zui4da4</italic> (the longest), &#x06700;&#x065E9; <italic>zui4zao3</italic> (the earliest), &#x06700;&#x05927; <italic>zui4da4</italic> (the biggest), &#x06700;&#x05C0F; <italic>zui4xiao4</italic> (the smallest), &#x06700;&#x05FEB; <italic>zui4kuai4</italic> (the quickest), &#x06700;&#x0597D; <italic>zui4hao3</italic> (the best), etc. This semantic meaning was also echoed by its English corresponding equivalence <italic>in the world</italic>. Nevertheless, the qualitative data showed that, while <italic>in the world</italic> is likely to be used in the postmodifying position, &#x04E16;&#x0754C;&#x04E0A; <italic>shi4jie4shang4 (in the world)</italic> has a positive tendency (69%) to occur at the premodifying position in a nominal group.</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>The collocates of &#x04E16;&#x0754C;&#x04E0A; <italic>shi4jie4shang4 (in the world)</italic> within a four-word span.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Rank</bold></th>
<th/>
<th valign="top" align="left"><bold>Collocates</bold></th>
<th valign="top" align="center"><bold>Frequency</bold></th>
<th valign="top" align="center"><bold>LogDice score</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">&#x06700;&#x05148;&#x08FDB;</td>
<td valign="top" align="left">The most advanced</td>
<td valign="top" align="center">5,702</td>
<td valign="top" align="center">8.836</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">&#x072EC;&#x04E00;&#x065E0;&#x04E8C;</td>
<td valign="top" align="left">The only one of its kind</td>
<td valign="top" align="center">3,756</td>
<td valign="top" align="center">8.080</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">&#x06700;&#x0957F;</td>
<td valign="top" align="left">Longest</td>
<td valign="top" align="center">2,477</td>
<td valign="top" align="center">7.762</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">&#x06700;&#x065E9;</td>
<td valign="top" align="left">Earliest</td>
<td valign="top" align="center">3,471</td>
<td valign="top" align="center">7.394</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">&#x06700;&#x05927;</td>
<td valign="top" align="left">Biggest</td>
<td valign="top" align="center">11,598</td>
<td valign="top" align="center">7.224</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">&#x06700;&#x05C0F;</td>
<td valign="top" align="left">Smallest</td>
<td valign="top" align="center">2,027</td>
<td valign="top" align="center">7.189</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">&#x0516C;&#x08BA4;</td>
<td valign="top" align="left">Universally acknowledged</td>
<td valign="top" align="center">2,077</td>
<td valign="top" align="center">7.120</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">&#x08FC4;&#x04ECA;</td>
<td valign="top" align="left">So far</td>
<td valign="top" align="center">1,966</td>
<td valign="top" align="center">6.954</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">&#x06700;&#x07F8E;</td>
<td valign="top" align="left">The most beautiful</td>
<td valign="top" align="center">2,072</td>
<td valign="top" align="center">6.856</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">&#x07B2C;&#x04E00;</td>
<td valign="top" align="left">First</td>
<td valign="top" align="center">31,819</td>
<td valign="top" align="center">6.579</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="left">&#x06700;&#x05FEB;</td>
<td valign="top" align="left">Fastest</td>
<td valign="top" align="center">1,411</td>
<td valign="top" align="center">6.575</td>
</tr>
<tr>
<td valign="top" align="left">12</td>
<td valign="top" align="left">&#x06700;</td>
<td valign="top" align="left">Extremest</td>
<td valign="top" align="center">53,474</td>
<td valign="top" align="center">6.569</td>
</tr>
<tr>
<td valign="top" align="left">13</td>
<td valign="top" align="left">&#x06D3B;&#x05728;</td>
<td valign="top" align="left">Living in</td>
<td valign="top" align="center">1,027</td>
<td valign="top" align="center">6.493</td>
</tr>
<tr>
<td valign="top" align="left">14</td>
<td valign="top" align="left">&#x053F7;&#x079F0;</td>
<td valign="top" align="left">Claimed to be</td>
<td valign="top" align="center">1,336</td>
<td valign="top" align="center">6.489</td>
</tr>
<tr>
<td valign="top" align="left">15</td>
<td valign="top" align="left">&#x04E3A;&#x06B62;</td>
<td valign="top" align="left">To the end</td>
<td valign="top" align="center">2,137</td>
<td valign="top" align="center">6.470</td>
</tr>
<tr>
<td valign="top" align="left">16</td>
<td valign="top" align="left">&#x06700;&#x0597D;</td>
<td valign="top" align="left">Best</td>
<td valign="top" align="center">5,561</td>
<td valign="top" align="center">6.454</td>
</tr>
<tr>
<td valign="top" align="left">17</td>
<td valign="top" align="left">&#x04F1F;&#x05927;</td>
<td valign="top" align="left">Greatest</td>
<td valign="top" align="center">2,354</td>
<td valign="top" align="center">6.306</td>
</tr>
<tr>
<td valign="top" align="left">18</td>
<td valign="top" align="left">&#x08FD9;&#x04E2A;</td>
<td valign="top" align="left">This</td>
<td valign="top" align="center">34,202</td>
<td valign="top" align="center">6.270</td>
</tr>
<tr>
<td valign="top" align="left">19</td>
<td valign="top" align="left">&#x04E3A;&#x06570;&#x04E0D;&#x0591A;</td>
<td valign="top" align="left">Few</td>
<td valign="top" align="center">850</td>
<td valign="top" align="center">6.253</td>
</tr>
<tr>
<td valign="top" align="left">20</td>
<td valign="top" align="left">&#x05F53;&#x04ECA;</td>
<td valign="top" align="left">Contemporary</td>
<td valign="top" align="center">1,635</td>
<td valign="top" align="center">6.239</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The commonality of associating <italic>in the world</italic>/&#x04E16;&#x0754C;&#x04E0A; <italic>shi4jie4shang4</italic> with the same meaning suggested that the two speech communities of English and Chinese conventionalized similar routes on the two phrases. Psychologically, speakers of English and Chinese recognize the polar meaning represented by the two clusters. People repeatedly encounter using the word sequence <italic>in the world</italic>/&#x04E16;&#x0754C;&#x04E0A; <italic>shi4jie4shang4</italic> as the highest level of their evaluation system. The combinations are repeatedly used in a discourse. A listener or reader may expect certain combinations when listening to or reading a sentence or text consisting of the combination. The frame they construct allows them to process the text more effectively or quickly.</p>
</sec>
<sec>
<title>The collocations of <italic>the second world war</italic></title>
<p><xref ref-type="table" rid="T7">Table 7</xref> shows the collocates within four words to the left and right of the cluster, <italic>the second world war</italic>. These collocates are then grouped into three major semantic associations. The first is that of TIME, represented by collocates such as <italic>During, after, 1939, 1940&#x00027;s, 1920&#x00027;s, 1945, 1931</italic>, etc. The second semantic association is concerned with PARTICIPANTS of <italic>the second world war</italic>, represented by collocates of <italic>Nazi</italic>, Cossacks, <italic>Germans, Hitler, fascist</italic>, etc. The third semantic meaning is associated with the war&#x00027;s AFTERMATH, such as <italic>aftermath, Depression</italic>, repatriation, <italic>devastation</italic>, etc.</p>
<table-wrap position="float" id="T7">
<label>Table 7</label>
<caption><p>The collocates of <italic>the second world war</italic> within a four-word span.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Rank</bold></th>
<th valign="top" align="left"><bold>Collocates</bold></th>
<th valign="top" align="center"><bold>Frequency</bold></th>
<th valign="top" align="center"><bold>LogDice score</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Outbreak</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">8.584</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">During</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center">7.871</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">During</td>
<td valign="top" align="center">233</td>
<td valign="top" align="center">7.661</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Aftermath</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">7.361</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Since</td>
<td valign="top" align="center">208</td>
<td valign="top" align="center">7.338</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Since</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">6.583</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Longest</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">6.483</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Requisitioned</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">6.357</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">After</td>
<td valign="top" align="center">239</td>
<td valign="top" align="center">6.353</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Interned</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">6.336</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="left">1945</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">6.287</td>
</tr>
<tr>
<td valign="top" align="left">12</td>
<td valign="top" align="left">Bombing</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">6.266</td>
</tr>
<tr>
<td valign="top" align="left">13</td>
<td valign="top" align="left">Cossacks</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">6.263</td>
</tr>
<tr>
<td valign="top" align="left">14</td>
<td valign="top" align="left">Before</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">6.260</td>
</tr>
<tr>
<td valign="top" align="left">15</td>
<td valign="top" align="left">End</td>
<td valign="top" align="center">110</td>
<td valign="top" align="center">6.238</td>
</tr>
<tr>
<td valign="top" align="left">16</td>
<td valign="top" align="left">Nazi</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">6.173</td>
</tr>
<tr>
<td valign="top" align="left">17</td>
<td valign="top" align="left">After</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">6.171</td>
</tr>
<tr>
<td valign="top" align="left">18</td>
<td valign="top" align="left">Victorious</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">6.166</td>
</tr>
<tr>
<td valign="top" align="left">19</td>
<td valign="top" align="left">1930s</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">6.159</td>
</tr>
<tr>
<td valign="top" align="left">20</td>
<td valign="top" align="left">Wrought</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">6.134</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Compared with <italic>the second world war</italic>, there were only 4.66 running words per million of &#x07B2C;&#x04E8C;&#x06B21;&#x04E16;&#x0754C;&#x05927;&#x06218; <italic>di4er4ci4shi4jie4da4zhan4</italic> (the second world war) in zhTenTen 11. Although this word sequence was not used as frequently and commonly as in English, its collocates within a four-word span show a strong resemblance with <italic>the second world war</italic>. <xref ref-type="table" rid="T8">Table 8</xref> displays some of the members contributing to the meaning of TIME, including words such as <italic>1945, 1939, the ending period</italic>, etc.; and some of the members contributing to the meaning of PARTICIPANTS, including words such as <italic>allies, fascist, German army</italic>, etc.</p>
<table-wrap position="float" id="T8">
<label>Table 8</label>
<caption><p>The collocates of &#x07B2C;&#x04E8C;&#x06B21;&#x04E16;&#x0754C;&#x05927;&#x06218;<italic>di4er4ci4shi4jie4da4zhan4</italic> (the second world war) within a four-word span.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Rank</bold></th>
<th valign="top" align="left"><bold>Collocate</bold></th>
<th/>
<th valign="top" align="center"><bold>Frequency</bold></th>
<th valign="top" align="center"><bold>LogDice score</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">&#x05927;&#x06218;</td>
<td valign="top" align="left">War</td>
<td valign="top" align="center">37,186</td>
<td valign="top" align="center">11.240</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">&#x07B2C;&#x04E8C;</td>
<td valign="top" align="left">Second</td>
<td valign="top" align="center">37,186</td>
<td valign="top" align="center">7.771</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">&#x07EB3;&#x07CB9;</td>
<td valign="top" align="left">Nazi</td>
<td valign="top" align="center">324</td>
<td valign="top" align="center">6.944</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">1945&#x05E74;</td>
<td valign="top" align="left">The year of 1945</td>
<td valign="top" align="center">347</td>
<td valign="top" align="center">6.877</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">&#x0672B;&#x0671F;</td>
<td valign="top" align="left">Ending period</td>
<td valign="top" align="center">296</td>
<td valign="top" align="center">6.641</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">&#x076DF;&#x0519B;</td>
<td valign="top" align="left">Ally</td>
<td valign="top" align="center">174</td>
<td valign="top" align="center">6.614</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">1939&#x05E74;</td>
<td valign="top" align="left">The year of 1939</td>
<td valign="top" align="center">187</td>
<td valign="top" align="center">6.445</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">&#x06218;&#x08D25;</td>
<td valign="top" align="left">Be defeated</td>
<td valign="top" align="center">166</td>
<td valign="top" align="center">6.381</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">&#x07206;&#x053D1;</td>
<td valign="top" align="left">Outbreak</td>
<td valign="top" align="center">1,682</td>
<td valign="top" align="center">6.362</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">&#x053CD;&#x06CD5;&#x0897F;&#x065AF;</td>
<td valign="top" align="left">Anti-fascist</td>
<td valign="top" align="center">116</td>
<td valign="top" align="center">6.312</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="left">&#x06CD5;&#x0897F;&#x065AF;</td>
<td valign="top" align="left">Fascist</td>
<td valign="top" align="center">164</td>
<td valign="top" align="center">6.029</td>
</tr>
<tr>
<td valign="top" align="left">12</td>
<td valign="top" align="left">Victoire</td>
<td/>
<td valign="top" align="center">74</td>
<td valign="top" align="center">6.022</td>
</tr>
<tr>
<td valign="top" align="left">13</td>
<td valign="top" align="left">&#x0505C;&#x06218;</td>
<td valign="top" align="left">Armistice</td>
<td valign="top" align="center">92</td>
<td valign="top" align="center">5.883</td>
</tr>
<tr>
<td valign="top" align="left">14</td>
<td valign="top" align="left">&#x06B21;</td>
<td valign="top" align="left">Times</td>
<td valign="top" align="center">37,085</td>
<td valign="top" align="center">5.864</td>
</tr>
<tr>
<td valign="top" align="left">15</td>
<td valign="top" align="left">&#x05FB7;&#x0519B;</td>
<td valign="top" align="left">German army</td>
<td valign="top" align="center">122</td>
<td valign="top" align="center">5.810</td>
</tr>
<tr>
<td valign="top" align="left">16</td>
<td valign="top" align="left">&#x0540C;&#x076DF;&#x056FD;</td>
<td valign="top" align="left">Allied nations</td>
<td valign="top" align="center">71</td>
<td valign="top" align="center">5.769</td>
</tr>
<tr>
<td valign="top" align="left">17</td>
<td valign="top" align="left">&#x056DE;&#x05FC6;&#x05F55;</td>
<td valign="top" align="left">Memoirs</td>
<td valign="top" align="center">110</td>
<td valign="top" align="center">5.716</td>
</tr>
<tr>
<td valign="top" align="left">18</td>
<td valign="top" align="left">&#x05E0C;&#x07279;&#x052D2;</td>
<td valign="top" align="left">Hitler</td>
<td valign="top" align="center">129</td>
<td valign="top" align="center">5.703</td>
</tr>
<tr>
<td valign="top" align="left">19</td>
<td valign="top" align="left">&#x06218;&#x072AF;</td>
<td valign="top" align="left">War criminals</td>
<td valign="top" align="center">85</td>
<td valign="top" align="center">5.699</td>
</tr>
<tr>
<td valign="top" align="left">20</td>
<td valign="top" align="left">&#x06218;&#x080DC;&#x056FD;</td>
<td valign="top" align="left">Victorious nations</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center">5.661</td>
</tr>
</tbody>
</table>
</table-wrap></sec>
<sec>
<title>The collocations of &#x04E16;&#x0754C;&#x05404;&#x05730; <italic>shi4jie4ge4di4</italic> (every corner of the world)</title>
<p>Now, we consider the most frequently used cluster containing &#x04E16;&#x0754C; <italic>shi4jie4</italic>. The collocates appearing to both sides of &#x04E16;&#x0754C;&#x05404;&#x05730; <italic>shi4jie4ge4di4</italic> (every corner of the world) are displayed in <xref ref-type="table" rid="T9">Table 9</xref>.</p>
<table-wrap position="float" id="T9">
<label>Table 9</label>
<caption><p>The collocates of &#x04E16;&#x0754C;&#x05404;&#x05730;<italic>shi4jie4ge4di4</italic> (every corner of the world) within a four-word span.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Collocates</bold></th>
<th/>
<th valign="top" align="center"><bold>Frequency</bold></th>
<th valign="top" align="center"><bold>LogDice score</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">&#x05404;&#x05730;</td>
<td valign="top" align="left">Every corner</td>
<td valign="top" align="center">194,045</td>
<td valign="top" align="center">12.439</td>
</tr>
<tr>
<td valign="top" align="left">&#x0904D;&#x05E03;</td>
<td valign="top" align="left">To spread all over</td>
<td valign="top" align="center">4,681</td>
<td valign="top" align="center">8.613</td>
</tr>
<tr>
<td valign="top" align="left">&#x06765;&#x081EA;</td>
<td valign="top" align="left">From</td>
<td valign="top" align="center">40,058</td>
<td valign="top" align="center">8.591</td>
</tr>
<tr>
<td valign="top" align="left">&#x0904D;&#x053CA;</td>
<td valign="top" align="left">Be found everywhere</td>
<td valign="top" align="center">1,780</td>
<td valign="top" align="center">7.749</td>
</tr>
<tr>
<td valign="top" align="left">&#x09500;&#x05F80;</td>
<td valign="top" align="left">To export</td>
<td valign="top" align="center">1,510</td>
<td valign="top" align="center">7.605</td>
</tr>
<tr>
<td valign="top" align="left">&#x08FDC;&#x09500;</td>
<td valign="top" align="left">To sell something to a distance place</td>
<td valign="top" align="center">1,447</td>
<td valign="top" align="center">7.540</td>
</tr>
<tr>
<td valign="top" align="left">&#x05438;&#x05F15;</td>
<td valign="top" align="left">To attract</td>
<td valign="top" align="center">8,026</td>
<td valign="top" align="center">7.103</td>
</tr>
<tr>
<td valign="top" align="left">&#x06E38;&#x05BA2;</td>
<td valign="top" align="left">Travelers</td>
<td valign="top" align="center">6,183</td>
<td valign="top" align="center">6.886</td>
</tr>
<tr>
<td valign="top" align="left">&#x06C47;&#x096C6;</td>
<td valign="top" align="left">To compile</td>
<td valign="top" align="center">982</td>
<td valign="top" align="center">6.453</td>
</tr>
<tr>
<td valign="top" align="left">&#x04E43;&#x081F3;</td>
<td valign="top" align="left">And even</td>
<td valign="top" align="center">1,703</td>
<td valign="top" align="center">6.363</td>
</tr>
<tr>
<td valign="top" align="left">&#x07231;&#x0597D;&#x08005;</td>
<td valign="top" align="left">Hobbyist</td>
<td valign="top" align="center">1,351</td>
<td valign="top" align="center">6.300</td>
</tr>
<tr>
<td valign="top" align="left">&#x08DB3;&#x08FF9;</td>
<td valign="top" align="left">Foot-mark</td>
<td valign="top" align="center">661</td>
<td valign="top" align="center">6.148</td>
</tr>
<tr>
<td valign="top" align="left">&#x06C47;&#x0805A;</td>
<td valign="top" align="left">To collect</td>
<td valign="top" align="center">988</td>
<td valign="top" align="center">6.138</td>
</tr>
<tr>
<td valign="top" align="left">&#x07F8E;&#x098DF;</td>
<td valign="top" align="left">Tasty food</td>
<td valign="top" align="center">1,968</td>
<td valign="top" align="center">6.125</td>
</tr>
<tr>
<td valign="top" align="left">&#x08D70;&#x0904D;</td>
<td valign="top" align="left">To travel around</td>
<td valign="top" align="center">493</td>
<td valign="top" align="center">6.080</td>
</tr>
<tr>
<td valign="top" align="left">&#x05206;&#x05E03;</td>
<td valign="top" align="left">Be distributed</td>
<td valign="top" align="center">2,228</td>
<td valign="top" align="center">6.044</td>
</tr>
<tr>
<td valign="top" align="left">&#x07545;&#x09500;</td>
<td valign="top" align="left">Best sold</td>
<td valign="top" align="center">758</td>
<td valign="top" align="center">5.999</td>
</tr>
<tr>
<td valign="top" align="left">&#x06210;&#x05343;&#x04E0A;&#x04E07;</td>
<td valign="top" align="left">Thousands of</td>
<td valign="top" align="center">498</td>
<td valign="top" align="center">5.948</td>
</tr>
<tr>
<td valign="top" align="left">&#x08FD0;&#x05F80;</td>
<td valign="top" align="left">Be transported to</td>
<td valign="top" align="center">415</td>
<td valign="top" align="center">5.903</td>
</tr>
<tr>
<td valign="top" align="left">&#x0641C;&#x07F57;</td>
<td valign="top" align="left">To collect</td>
<td valign="top" align="center">374</td>
<td valign="top" align="center">5.796</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The data in the table suggest that the general semantic meanings associated with the word sequence are TRADE, represented by collocates of &#x09500;&#x05F80;<italic>xiao1wang3</italic> (to export<italic>)</italic>,  &#x08FDC;&#x09500;<italic>yuan3xiao1</italic> (to sell something to a distance place<italic>)</italic>, &#x07545;&#x09500; <italic>chang4xiao1</italic> (best sold), etc.; and TRAVELING, represented by &#x06E38;&#x05BA2; <italic>you2ke4</italic> (travelers<italic>)</italic>, &#x07231;&#x0597D;&#x08005; <italic>ai4hao4zhe3</italic> [hobbyist (of traveling)], &#x08D70;&#x0904D; <italic>zou3bian4</italic> (to travel around<italic>)</italic>, etc. The English counterpart corresponding to &#x04E16;&#x0754C;&#x05404;&#x05730; <italic>shi4jie4ge4di4</italic> has many alternatives. Among the many, we chose to observe <italic>anywhere in the world</italic> (196 hits with 1.74 per million words), which had the highest MC value (34%). The data showed that English speakers are very unlikely to prime this phrase. Apart from the low frequency, the collocates appearing to both sides of <italic>anywhere in the world</italic> were too dispersed to be grouped into any kind of semantic association.</p>
<p>Hoey illustrated in LPT that we hold in our minds elaborate networks of possible co-occurrence patterns that are primed for particular contexts or situations. Per the theory, &#x0201C;mental concordance&#x0201D; stored in our mind sparks the expectancies we refer to build up discourses. Through repeated encounters with a word combination or word sequence in a particular textual and social context, we begin to identify it as collocation. Repeated encounters with the collocation are then primed when we are exposed to similar contexts. The knowledge of a word&#x00027;s repeated encounters then contributes to people&#x00027;s sentential comprehension.</p>
<p>The present study&#x00027;s results coincide with psychological experiments concerning reading tasks (e.g., Reali and Christiansen, <xref ref-type="bibr" rid="B24">2007</xref>), in that the frequency of being exposed to words or sequences of words repeatedly used in similar contexts could influence readers&#x00027; expectations. This observation provides two psychological insights for cross-linguistic studies, the first being the insight into the definition of corresponding equivalence. The cross-linguistic equivalence between English and Chinese should reside in a unit of meaning rather than single-word-to-word translation. As the above data show, restricting the correspondence in one or two lexical items may not reflect the corresponding meaning across the two languages. It seems all the more evident that the corresponding meaning is inseparably linked up with a phraseological patterning of the node item. These patterns or clusters are the habitual and typical expressions of a language. From these frequently used clusters, we can infer a speech community&#x00027;s habitual ways of conceptualization, which may determine their ways of sentential comprehension.</p>
<p>The second insight concerns second language acquisition. The difficulty of learning a target language is believed to depend preliminarily on the context in which the target language pattern is similar to or different from that of a learner&#x00027;s first language. This finding is in line with Jantunen and Brunni (<xref ref-type="bibr" rid="B14">2013</xref>), who showed that a learner&#x00027;s mother tongue background does not seem to affect the ability to produce correct word forms. Corresponding equivalence resides in a more complex pattern than simple word-to-word translation. Teachers can crack in harmonious primings directly or recommend that students read more authentic materials to find the conflicts between the learners&#x00027; primings and the common primings shared by the community in which their listeners or readers live.</p>
<p>Hoey (<xref ref-type="bibr" rid="B10">2005</xref>, p. 8) noted that priming can be the fullest form of describing Giddens (<xref ref-type="bibr" rid="B6">1979</xref>) discussion of the relationship between human agency and social structure, where each action reproduces the structure, and the structure shapes the individual action. Per Hoey, &#x0201C;priming leads to a speaker unintentionally reproducing some aspect of the language, and that aspect thereby reproduced, in turn, primes the hearer.&#x0201D; In Hoey&#x00027;s theory and other research taking LPT as a theoretical framework, the context that may influence an individual&#x00027;s priming is restricted to written or spoken discourse; however, since LPT intends to describe corpus data from a psychological dimension, we could not neglect the context of society taking upon an individual&#x00027;s priming.</p>
<p>Due to the identical psychological representation of the physical world, both English and Chinese speakers apply <italic>in the world</italic>/&#x04E16;&#x0754C;&#x04E0A; <italic>shi4jie4shang4</italic> to express the highest level in their evaluation hierarchy, as indicated from the quantitative results obtained earlier. In addition, the semantic priming represented by the collocates surrounding the node clusters within a four-word span is identical. Apart from the congruence, some divergence was also found. This divergence, in some cases, is strictly opposed to each other. While BNC shows English speakers&#x00027; preference for applying <italic>the second world war</italic>, zhTenTen11 indicates Chinese speakers&#x00027; strong aversion to picking up this cluster. While zhTenTen11 shows a preference for deploying &#x04E16;&#x0754C;&#x05404;&#x05730; <italic>shi4jie4ge4di4</italic> (every corner of the world), BNC demonstrates no significant tendency to use its counterpart.</p>
<p>A language user within a speech community may acquire the primings of a word sequence first or the primings of the individual word first. There is no difference in principle between the two ways of first language acquisition. However, it is assumed based on data obtained above that the language production and the process of comprehending a phrase or sentence could be influenced by the knowledge of collocation on that word. If the &#x0201C;nonce&#x0201D; primings encountered by the speaker of a language are compatible with the primings stored in their brain, the matching semantic associations are then primed (the procedure can be <italic>vice versa</italic>). In this sense, the comprehension speed of the language can be accelerated.</p>
</sec>
</sec>
<sec>
<title>The contrast of colligational behaviors between <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic></title>
<p>Colligation in LPT characterizes itself by claiming that every word prefers or avoids appearing at a certain position, grammatical function, or textual position. The present study compares the syntactic behaviors of <italic>world</italic> with those of other, apparently similar nouns discussed in Hoey&#x00027;s (<xref ref-type="bibr" rid="B10">2005</xref>, p. 46&#x02013;49), namely, <italic>consequence</italic> (1,615 hits), <italic>question</italic> (300 hits), <italic>preference</italic> (300 hits), <italic>aversion</italic> (204 hits), and <italic>use</italic> (300 hits). For &#x04E16;&#x0754C; <italic>shi4jie4</italic>, I selected five lexical items from the first paragraphs of Text 01 in the LCMC, namely, &#x07ED3;&#x0679C; <italic>jie2guo3</italic> (result, 242),  &#x095EE;&#x09898;<italic>wen4ti2</italic> (question, 451), &#x08BED;&#x08A00; <italic>yu3yan2</italic> (language, 355), &#x05DE5;&#x04E1A; <italic>gong1ye4</italic> (industry, 261), and &#x08303;&#x056F4; <italic>fan4wei2</italic> (range, 141). They operated at a comparable degree of abstractness.</p>
<sec>
<title>The general colligational profile of <italic>world</italic></title>
<p>According to Hoey (<xref ref-type="bibr" rid="B10">2005</xref>, p. 44), &#x0201C;A noun will always be part of some group or other word sequence, and that group or word sequence will normally perform some function in a clause.&#x0201D; It is thus reasonable to examine the distribution of a noun in terms of its occurrences within a clause or group. This section observes the colligational behavior of <italic>world</italic> at the clausal level, and then at the group level. Four major clausal-level grammatical functions were considered in connection with <italic>world</italic>: as part of a Subject, as part of an Object, as part of a Complement, and as part of a prepositional phrase functioning as an Adjunct. Our use of these grammatical terms is generally in line with normal usage and the definitions in the <italic>Collins Grammar Dictionary</italic>, wherein Subject refers to &#x0201C;the noun group that refers to the person or thing that is doing the action expressed by the verb&#x0201D; (as Example 1 shows) and Object is defined as &#x0201C;a noun, noun phrase or pronoun that refers to a person or thing that is affected by the action of the verb (called the DIRECT OBJECT), or that the action is done to or for (called the INDIRECT OBJECT)&#x0201D; (as Example 2 shows). Complement, on the other hand, is defined as &#x0201C;an adjective group or noun group, which comes after the verb and describes or identifies the subject.&#x0201D; It normally follows the BE verb or other equative verbs, such as FEEL, BECOME, and SEEM (as Example 3 shows). Adjunct in the present study referred to the prepositional phrase, which is used to modify the clause. It could appear at either the beginning or the end of a sentence (as Example 4 shows). Instances that do not fit one of these four basic grammatical categories are simply analyzed as Other.</p>
<list list-type="simple">
<list-item><p>1) For Einstein, the physical <bold>world [Subject]</bold> was an incarnation of reason, which, although manifested in various laws and principles, was inaccessible to the human mind in its most profound depths.</p></list-item>
<list-item><p>2) Almost all the growth will occur in the cities of the developing <bold>world [Object]</bold>.</p></list-item>
<list-item><p>3) Now, the open systems is a very new <bold>world [Complement]</bold> to us.</p></list-item>
<list-item><p>4) CGE is the largest water group <bold>in the world [Adjunct]</bold>.</p></list-item>
</list>
<p><xref ref-type="table" rid="T10">Table 10</xref> reveals a clear negative colligation between <italic>world</italic> and the grammatical function of Adjunct. Only 14% of instances belonged to this function, almost three times less often than for <italic>consequence</italic>.</p>
<table-wrap position="float" id="T10">
<label>Table 10</label>
<caption><p>A comparison of the grammatical distributions between <italic>world</italic> in a clause and that of five words discussed in Hoey (<xref ref-type="bibr" rid="B10">2005</xref>).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="center"><bold>Part of subject</bold></th>
<th valign="top" align="center"><bold>Part of object</bold></th>
<th valign="top" align="center"><bold>Part of complement</bold></th>
<th valign="top" align="center"><bold>Part of adjunct</bold></th>
<th valign="top" align="center"><bold>Others</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>World</italic></td>
<td valign="top" align="center">27% (99/365)</td>
<td valign="top" align="center">33% (120/365)</td>
<td valign="top" align="center">19% (69/365)</td>
<td valign="top" align="center">14% (51/365)</td>
<td valign="top" align="center">7% (26/365)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Consequence</italic></td>
<td valign="top" align="center">24% (383/1615)</td>
<td valign="top" align="center">4% (62/1615)</td>
<td valign="top" align="center">24% (396/1615)</td>
<td valign="top" align="center">43% (701/1615)</td>
<td valign="top" align="center">5% (74/1615)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Question</italic></td>
<td valign="top" align="center">26% (79/300)</td>
<td valign="top" align="center">27% (26/300)</td>
<td valign="top" align="center">20% (60/300)</td>
<td valign="top" align="center">22% (66/300)</td>
<td valign="top" align="center">4% (13/300)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Preference</italic></td>
<td valign="top" align="center">21% (63/300)</td>
<td valign="top" align="center">38% (113/300)</td>
<td valign="top" align="center">7% (21/300)</td>
<td valign="top" align="center">30% (90/300)</td>
<td valign="top" align="center">4% (13/300)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Aversion</italic></td>
<td valign="top" align="center">23% (47/203)</td>
<td valign="top" align="center">38% (77/203)</td>
<td valign="top" align="center">8% (16/203)</td>
<td valign="top" align="center">22% (45/203)</td>
<td valign="top" align="center">8% (17/203)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Use</italic></td>
<td valign="top" align="center">22% (67/300)</td>
<td valign="top" align="center">34% (103/300)</td>
<td valign="top" align="center">6% (17/300)</td>
<td valign="top" align="center">36% (107/300)</td>
<td valign="top" align="center">2% (6/300)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Regarding Complement, while the tendency of <italic>world</italic> to occur in this function was not as strong as that exhibited by <italic>consequence</italic>, it still occurred much more frequently than other parametric words, except for <italic>question</italic>.</p>
<p>Then, we continue to examine the colligational features of <italic>world</italic> at the nominal group level, which include three grammatical possibilities: occurring as the head of the nominal group (as example 5 shows), as a premodifier (as example 6 shows), or as part of the postmodification (as example 7 shows). For example:</p>
<list list-type="simple">
<list-item><p>5) They argue that the <bold>world</bold> has obligations under the Genocide Convention of 1948. <bold>[world as head]</bold></p></list-item>
<list-item><p>6) The lad from a farm close to a one-horse stop called Peachester, near Brisbane, became a <bold>world</bold> figure with some of the best golf ever seen in the last round of a major championship. <bold>[world as premodifier]</bold></p></list-item>
<list-item><p>7) Unfortunately, he cannot pick Ian Baker-Finch, one of the best known golfers in the <bold>world</bold>. <bold>[world as part of the postmodification]</bold></p></list-item>
</list>
<p>I analyzed all nominal groups within the 365 instances containing the node word <italic>world</italic> from the FLOB. As before, its syntactic behavior was compared with that of the five words analyzed by Hoey (<xref ref-type="bibr" rid="B10">2005</xref>).</p>
<p>As <xref ref-type="table" rid="T11">Table 11</xref> shows, <italic>world</italic> and <italic>consequence</italic> clearly differed in grammatical distribution, despite sharing the same colligational preference for the Subject function. <italic>World</italic> differed strikingly from <italic>consequence</italic> and the other four nouns in two ways. First, <italic>consequence</italic> strongly tended (98%) to occur as the head of its nominal groups, as did the other words (75&#x02013;92%), whereas <italic>world</italic>&#x00027;s tendency was only 33%. <italic>World</italic> occurred least frequently as part of the premodification among the three possibilities; it was overwhelmingly more likely to do so than the other five words, especially <italic>consequence</italic>, which showed almost no such tendency. Second, while <italic>preference, aversion</italic>, and <italic>use</italic> occurred in postmodification between two and 12 times more frequently than <italic>consequence, world</italic> showed an even stronger tendency, occurring 21 times more often. Within the 154 instances of <italic>world</italic> occurring as part of postmodification, 70% (108/154) occurred in the form of a prepositional phrase, dominantly represented by the prepositional phrase <italic>in the world</italic>, accounting for 34% of prepositional phrases (37 out of 108) and <italic>on the world</italic> (stage), accounting for 28% (30 out of 108).</p>
<table-wrap position="float" id="T11">
<label>Table 11</label>
<caption><p>A comparison of the grammatical distribution of <italic>world</italic> in the nominal group with words studied by Hoey (<xref ref-type="bibr" rid="B10">2005</xref>).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="center"><bold>Head of nominal group</bold></th>
<th valign="top" align="center"><bold>Premodifier of nomical group</bold></th>
<th valign="top" align="center"><bold>Part of the postmodification of the nominal group</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>World</italic></td>
<td valign="top" align="center">33% (119/365)</td>
<td valign="top" align="center">25% (92/365)</td>
<td valign="top" align="center">42% (154/365)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Cosequence</italic></td>
<td valign="top" align="center">98% (1588/1615)</td>
<td valign="top" align="center">0.06% (1/1615)</td>
<td valign="top" align="center">2% (26/1615)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Question</italic></td>
<td valign="top" align="center">92% (275/300)</td>
<td/>
<td valign="top" align="center">8% (25/300)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Preference</italic></td>
<td valign="top" align="center">84% (253/300)</td>
<td valign="top" align="center">3% (8/300)</td>
<td valign="top" align="center">13% (39/300)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Aversion</italic></td>
<td valign="top" align="center">82% (167/203)</td>
<td valign="top" align="center">6% (12/203)</td>
<td valign="top" align="center">12% (24/203)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Use</italic></td>
<td valign="top" align="center">75% (226/300)</td>
<td valign="top" align="center">1% (2/300)</td>
<td valign="top" align="center">24% (72/300)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The typical colligational behaviors of <italic>world</italic> at the nominal group level included:</p>
<list list-type="order">
<list-item><p>a strong preference for being used as part of the postmodification of a nominal group;</p></list-item>
<list-item><p>a positive preference for appearing as part of the postmodification of a nominal group and proportionally frequently in the form, <italic>in the world</italic>;</p></list-item>
<list-item><p>a strong preference for being used as the premodification of a nominal group;</p></list-item>
<list-item><p>a strong aversion to being used as the head of a nominal group.</p></list-item>
</list>
</sec>
<sec>
<title>The general colligational profile of &#x04E16;&#x0754C; <italic>shi4jie4</italic></title>
<p>Five hundred thirty-five instances of &#x04E16;&#x0754C; <italic>shi4jie4</italic> were analyzed to see whether they occurred as part of the Subject, as part of the Object, as part of the Complement, or as part of a prepositional phrase functioning as an Adjunct, using the same methodology used to analyze the word <italic>world</italic>.</p>
<p>Our use of the grammatical categories for Subject (Example 8), Object (Example 9), Complement (Example 10), and Adjunct (Example 11) was in line with the normal use defined in <italic>Grammar and Rhetoric of Speech Act</italic>.</p>
<list list-type="simple">
<list-item><p>8)&#x000A0;&#x000A0;&#x000A0;&#x05F53;&#x04ECA;&#x000A0;&#x000A0;&#x000A0;&#x04E16;&#x0754C;&#x05404;&#x056FD;&#x000A0;&#x000A0;&#x000A0;<bold>[Subject]</bold>&#x000A0;&#x000A0;&#x000A0;&#x05BF9;</p>
<p>dang1jin1&#x000A0;&#x000A0;&#x000A0;shi4jie4ge4guo2&#x000A0;&#x000A0;&#x000A0;dui4</p>
<p>Today&#x000A0;&#x000A0;&#x000A0;every nation of the world&#x000A0;&#x000A0;&#x000A0;toward</p>
<p>&#x08282;&#x080FD;&#x0964D;&#x08017;&#x000A0;&#x000A0;&#x000A0;&#x08FBE;&#x06210;&#x04E86;&#x000A0;&#x000A0;&#x000A0;&#x05171;&#x08BC6;&#x03002;</p>
<p>jie2neng2jiang4hao4&#x000A0;&#x000A0;&#x000A0;da2cheng2le&#x000A0;&#x000A0;&#x000A0;gong4shi2</p>
<p>energysaving&#x000A0;&#x000A0;&#x000A0;reach&#x000A0;&#x000A0;&#x000A0;common sense</p></list-item>
</list>
<p>Today, all the nations in the world have reached a common sense toward the issue of energy saving.</p>
<list list-type="simple">
<list-item><p>9)&#x000A0;&#x000A0;&#x000A0;&#x05176;&#x05B9E;&#x000A0;&#x000A0;&#x000A0;&#x0662F;&#x000A0;&#x000A0;&#x000A0;&#x06700;&#x04F1F;&#x05927;&#x07684;&#x04EBA;,&#x000A0;&#x000A0;&#x000A0;&#x04ED6;&#x04EEC;</p>
<p>qi2shi2&#x000A0;&#x000A0;&#x000A0;shi4&#x000A0;&#x000A0;&#x000A0;zui4wei3da4deren2&#x000A0;&#x000A0;&#x000A0;ta1men</p>
<p>Actually&#x000A0;&#x000A0;&#x000A0;is&#x000A0;&#x000A0;&#x000A0;the greatest people&#x000A0;&#x000A0;&#x000A0;they</p>
<p>&#x06539;&#x053D8;&#x000A0;&#x000A0;&#x000A0;&#x04E16;&#x0754C; <bold>[Object]</bold>&#x03002;</p>
<p>gai3bian4&#x000A0;&#x000A0;&#x000A0;shi4jie4</p>
<p>change&#x000A0;&#x000A0;&#x000A0;the world</p></list-item>
</list>
<p>Actually, it is the greatest people who have changed the world.</p>
<list list-type="simple">
<list-item><p>10)&#x000A0;&#x000A0;&#x000A0;&#x076AE;&#x080A4;&#x075C5;&#x000A0;&#x000A0;&#x000A0;&#x0662F;&#x000A0;&#x000A0;&#x000A0;&#x04E16;&#x0754C; <bold>[Complement]</bold>&#x0516C;&#x08BA4;&#x07684;</p>
<p>pi2fu1bing4&#x000A0;&#x000A0;&#x000A0;shi4&#x000A0;&#x000A0;&#x000A0;shi4jie4gong1ren4de</p>
<p>Skin diseases&#x000A0;&#x000A0;&#x000A0;are&#x000A0;&#x000A0;&#x000A0;world recognized</p>
<p>&#x05E38;&#x089C1;&#x075BE;&#x075C5;&#x000A0;&#x000A0;&#x000A0;&#x053CA;&#x000A0;&#x000A0;&#x000A0;&#x0591A;&#x053D1;&#x075C5;&#x03002;</p>
<p>chang2jian4ji2bing4&#x000A0;&#x000A0;&#x000A0;ji2&#x000A0;&#x000A0;&#x000A0;duo1fa1bing4</p>
<p>Normal diseases&#x000A0;&#x000A0;&#x000A0;and&#x000A0;&#x000A0;&#x000A0;frequently occurring diseases</p></list-item>
</list>
<p>It is universally acknowledged that skin diseases are kinds of normal and frequently-occurring diseases.</p>
<list list-type="simple">
<list-item><p>11)&#x000A0;&#x000A0;&#x000A0;&#x05728;&#x04E16;&#x0754C;&#x08303;&#x056F4;&#x05185;&#x000A0;&#x000A0;&#x000A0;&#x06211;&#x04EEC;&#x000A0;&#x000A0;&#x000A0;&#x08981;</p>
<p>zai4shi4jie4fan4wei2nei4&#x000A0;&#x000A0;&#x000A0;wo3men&#x000A0;&#x000A0;&#x000A0;yao4</p>
<p>In the range of the world&#x000A0;&#x000A0;&#x000A0;we&#x000A0;&#x000A0;&#x000A0;need</p>
<p>&#x09075;&#x05B88;&#x000A0;&#x000A0;&#x000A0;&#x056FD;&#x09645;&#x079E9;&#x05E8F;&#x000A0;&#x000A0;&#x000A0;&#x07EF4;&#x062A4;</p>
<p>zun1shou3&#x000A0;&#x000A0;&#x000A0;guo2ji4zhi4xu4&#x000A0;&#x000A0;&#x000A0;wei2hu4</p>
<p>abide by&#x000A0;&#x000A0;&#x000A0;international order&#x000A0;&#x000A0;&#x000A0;maintain</p>
<p>&#x056FD;&#x05BB6;&#x000A0;&#x000A0;&#x000A0;&#x05F62;&#x08C61;&#x03002;</p>
<p>guo2jia1&#x000A0;&#x000A0;&#x000A0;xing2xiang4</p>
<p>national&#x000A0;&#x000A0;&#x000A0;image</p></list-item>
</list>
<p>In the range of the world, we must abide by the international law and maintain our national image.</p>
<p>As distributed in <xref ref-type="table" rid="T12">Table 12</xref>, &#x04E16;&#x0754C; <italic>shi4jie4</italic> was quite strikingly different from the other five nouns in terms of grammatical functions. We found positive and negative colligations with the clausal functions with which &#x04E16;&#x0754C; <italic>shi4jie4</italic> was likely to be associated; these preferences and aversions are summarized as follows:</p>
<list list-type="order">
<list-item><p>There was a clear positive colligation between &#x04E16;&#x0754C; <italic>shi4jie4</italic> and the grammatical function of Object, accounting for over half the total instances extracted from the LCMC.</p></list-item>
<list-item><p>There was also a positive colligation between &#x04E16;&#x0754C; <italic>shi4jie4</italic> and the grammatical function of Adjunct. Although the percentage was not strikingly higher than for several of the other nouns [excluding &#x08303;&#x056F4; <italic>fan4wei2</italic> (range)], &#x04E16;&#x0754C; <italic>shi4jie4</italic> displayed a relatively stronger tendency to be associated with this function.</p></list-item>
</list>
<table-wrap position="float" id="T12">
<label>Table 12</label>
<caption><p>A comparison of the grammatical distribution of &#x04E16;&#x0754C; <italic>shi4jie4</italic> in the clause with that of other nouns in the LCMC.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="center"><bold>Part of subject</bold></th>
<th valign="top" align="center"><bold>Part of object</bold></th>
<th valign="top" align="center"><bold>Part of complement</bold></th>
<th valign="top" align="center"><bold>Part of adjunct</bold></th>
<th valign="top" align="center"><bold>Other</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>&#x04E16;&#x0754C; shi4jie4 world</italic></td>
<td valign="top" align="center">14% (75)</td>
<td valign="top" align="center">58% (310)</td>
<td valign="top" align="center">7% (37)</td>
<td valign="top" align="center">20% (107)</td>
<td valign="top" align="center">1% (5)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>&#x07ED3;&#x0679C; jie2guo3 result</italic></td>
<td valign="top" align="center">36% (88)</td>
<td valign="top" align="center">23% (55)</td>
<td valign="top" align="center">9% (22)</td>
<td valign="top" align="center">18% (44)</td>
<td valign="top" align="center">14% (33)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>&#x095EE;&#x09898; wen4ti2 question</italic></td>
<td valign="top" align="center">22% (100)</td>
<td valign="top" align="center">56% (251)</td>
<td valign="top" align="center">11% (50)</td>
<td valign="top" align="center">6% (25)</td>
<td valign="top" align="center">6% (25)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>&#x08BED;&#x08A00; yu3yan2 language</italic></td>
<td valign="top" align="center">24% (58)</td>
<td valign="top" align="center">19% (46)</td>
<td valign="top" align="center">43% (104)</td>
<td valign="top" align="center">10% (23)</td>
<td valign="top" align="center">4% (11)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>&#x05DE5;&#x04E1A; gong1ye4 industry</italic></td>
<td valign="top" align="center">55% (144)</td>
<td valign="top" align="center">34% (90)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">7% (18)</td>
<td valign="top" align="center">3% (9)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>&#x08303;&#x056F4; fan4wei2 range</italic></td>
<td valign="top" align="center">17% (23)</td>
<td valign="top" align="center">40% (56)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">44% (62)</td>
<td valign="top" align="center">0</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>We now look at the colligational behavior of &#x04E16;&#x0754C; <italic>shi4jie4</italic> at the rank of the group or phrase. As with <italic>world</italic>, there are, in principle three grammatical possibilities for &#x04E16;&#x0754C; <italic>shi4jie4</italic> occurring within a nominal group: as the head of the nominal group in which it appears (as Example 12 shows), as part of the premodifier (as Example 13 shows), or as part of the postmodification (as Example 14 shows):</p>
<list list-type="simple">
<list-item><p>12)&#x000A0;&#x000A0;&#x000A0;&#x05F53;&#x04ECA;&#x04E16;&#x0754C;&#x000A0;&#x000A0;&#x000A0;&#x05C5E;&#x04E8E;&#x000A0;&#x000A0;&#x000A0;&#x06FC0;&#x070C8;&#x07684;</p>
<p>dang1jin1shi4jie4&#x000A0;&#x000A0;&#x000A0;shu3yu2&#x000A0;&#x000A0;&#x000A0;ji1lie4de</p>
<p>Today&#x00027;s world&#x000A0;&#x000A0;&#x000A0;belongs to&#x000A0;&#x000A0;&#x000A0;fierce</p>
<p>&#x05E02;&#x0573A;&#x07ADE;&#x04E89;&#x000A0;&#x000A0;&#x000A0;&#x05F53;&#x04E2D;&#x03002;&#x000A0;&#x000A0;&#x000A0;</p>
<p>shi4chang3jing4zheng1&#x000A0;&#x000A0;&#x000A0;dang1zhong1</p>
<p>market competition&#x000A0;&#x000A0;&#x000A0;in</p>
<p><bold>[</bold>&#x04E16;&#x0754C;<bold><italic>&#x000A0;&#x000A0;&#x000A0;shi4jie4</italic> occurs as a noun head]</bold></p></list-item>
</list>
<p>The world today is involved in fierce market competition.</p>
<list list-type="simple">
<list-item><p>13)&#x000A0;&#x000A0;&#x000A0;&#x081EA;&#x07136;&#x0795E;&#x000A0;&#x000A0;&#x000A0;&#x06210;&#x04E3A;&#x000A0;&#x000A0;&#x000A0;&#x05F53;&#x065F6;</p>
<p>zi4ran2shen2&#x000A0;&#x000A0;&#x000A0;cheng2wei2&#x000A0;&#x000A0;&#x000A0;dang1shi2</p>
<p>The god of nature&#x000A0;&#x000A0;&#x000A0;become that&#x000A0;&#x000A0;&#x000A0;time</p>
<p>&#x04E3B;&#x05BB0;&#x04EBA;&#x04EEC;&#x000A0;&#x000A0;&#x000A0;&#x05185;&#x05FC3;&#x04E16;&#x0754C;&#x07684;&#x000A0;&#x000A0;&#x000A0;&#x04E3B;&#x08981;</p>
<p>zhu3zai3ren2men&#x000A0;&#x000A0;&#x000A0;nei3xin1shi4jie4de&#x000A0;&#x000A0;&#x000A0;zhu3yao4</p>
<p>dominate people&#x000A0;&#x000A0;&#x000A0;inner world&#x000A0;&#x000A0;&#x000A0;major</p>
<p>&#x07CBE;&#x0795E;&#x0529B;&#x091CF;&#x03002;</p>
<p>jing1shen2li4liang4</p>
<p>spiritual power</p>
<p><bold>[</bold>&#x04E16;&#x0754C;<bold><italic> shi4jie4</italic> occurs as part of premodifier]</bold></p></list-item>
</list>
<p>The God of nature had become the main spirit power for people&#x00027;s inner world at that time.</p>
<list list-type="simple">
<list-item><p>14)&#x000A0;&#x000A0;&#x000A0;&#x04E0A;&#x06D77;&#x05149;&#x06E90;&#x000A0;&#x000A0;&#x000A0;&#x04EE5;&#x04E16;&#x0754C;&#x000A0;&#x000A0;&#x000A0;&#x0540C;&#x07C7B;&#x088C5;&#x07F6E;</p>
<p>Shang4hai3guang1yuan2&#x000A0;&#x000A0;&#x000A0;yi3shi4jie4&#x000A0;&#x000A0;&#x000A0;tong2lei4zhuang1zhi7</p>
<p>Shanghai light source&#x000A0;&#x000A0;&#x000A0;world&#x000A0;&#x000A0;&#x000A0;instruments alike</p>
<p>&#x06700;&#x05C11;&#x07684;&#x000A0;&#x000A0;&#x000A0;&#x06295;&#x08D44;&#x000A0;&#x000A0;&#x000A0;&#x0548C;&#x000A0;&#x000A0;&#x000A0;&#x06700;&#x05FEB;&#x07684;</p>
<p>zui4shao3de&#x000A0;&#x000A0;&#x000A0;tou2zi1&#x000A0;&#x000A0;&#x000A0;he2&#x000A0;&#x000A0;&#x000A0;zui4kuai4de</p>
<p>least&#x000A0;&#x000A0;&#x000A0;investment&#x000A0;&#x000A0;&#x000A0;and&#x000A0;&#x000A0;&#x000A0;fast</p>
<p>&#x05EFA;&#x08BBE;&#x0901F;&#x05EA6;,&#x000A0;&#x000A0;&#x000A0;&#x05B9E;&#x073B0;&#x04E86;&#x000A0;&#x000A0;&#x000A0;&#x04F18;&#x05F02;&#x07684;&#x000A0;&#x000A0;&#x000A0;&#x06027;&#x080FD;&#x02026;</p>
<p>jian4she4su4du4&#x000A0;&#x000A0;&#x000A0;shi2xian4le&#x000A0;&#x000A0;&#x000A0;you1yi4de&#x000A0;&#x000A0;&#x000A0;xing4neng2</p>
<p>construction speed&#x000A0;&#x000A0;&#x000A0;realize&#x000A0;&#x000A0;&#x000A0;brilliant&#x000A0;&#x000A0;&#x000A0;performance</p>
<p><bold>[</bold>&#x04E16;&#x0754C;<bold><italic> shi4jie4</italic> occurs as postmodification]</bold></p></list-item>
</list>
<p>[The company of] Shanghai Light Resource had gained brilliant performance on similar devices in the world with the least investment and fast construction.</p>
<p><xref ref-type="table" rid="T13">Table 13</xref> shows that &#x04E16;&#x0754C; <italic>shi4jie4</italic> clearly differed from the other nouns studied in terms of its distribution in a nominal group. Those differences were much more significant and striking than other grammatical functions. First, while the other nouns most occurred frequently as heads in nominal groups, particularly &#x07ED3;&#x0679C;<italic>jie2guo3</italic> (result), &#x04E16;&#x0754C; <italic>shi4jie4</italic> occurred as the head much less often, indicating it tends to be used to specify noun heads and avoids being the center of attention. Second, &#x04E16;&#x0754C; <italic>shi4jie4</italic> had a very strong tendency to occur in the premodification function of a noun group, closely followed by &#x05DE5;&#x04E1A;<italic>gon1ye4</italic> (industry). Third, none of the nouns under study showed a preference for occurring as part of a postmodification, except for &#x04E16;&#x0754C; <italic>shi4jie4</italic> and &#x095EE;&#x09898; <italic>wen4ti2</italic> (question), which showed some small tendency to occur in this grammatical position. In summary, &#x04E16;&#x0754C; <italic>shi4jie4</italic> had a negative colligation for occurring as the noun head, and&#x04E16;&#x0754C; <italic>shi4jie4</italic> a positive colligation for occurring as part of premodification.</p>
<table-wrap position="float" id="T13">
<label>Table 13</label>
<caption><p>A comparison of the grammatical distribution of &#x04E16;&#x0754C; <italic>shi4jie4</italic> in the nominal group with that of the other five nouns in the LCMC.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="center"><bold>Noun head</bold></th>
<th valign="top" align="center"><bold>(As part of) premodification</bold></th>
<th valign="top" align="center"><bold>Postmodification</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>&#x04E16;&#x0754C; shi4jie4 world</italic></td>
<td valign="top" align="center">33% (177/535)</td>
<td valign="top" align="center">65% (348/535)</td>
<td valign="top" align="center">2% (11/535)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>&#x07ED3;&#x0679C; jie2guo3 result</italic></td>
<td valign="top" align="center">100% (242/242)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left"><italic>&#x095EE;&#x09898; wen4ti2 question</italic></td>
<td valign="top" align="center">75% (338/451)</td>
<td valign="top" align="center">19% (85/451)</td>
<td valign="top" align="center">6% (28/451)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>&#x08BED;&#x08A00; yu3yan2 language</italic></td>
<td valign="top" align="center">55% (195/355)</td>
<td valign="top" align="center">45% (160/355)</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left"><italic>&#x05DE5;&#x04E1A; gong1ye4 industry</italic></td>
<td valign="top" align="center">46% (120/261)</td>
<td valign="top" align="center">54% (141/261)</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left"><italic>&#x08303;&#x056F4; fan4wei2 range</italic></td>
<td valign="top" align="center">92% (129/141)</td>
<td valign="top" align="center">8% (12/141)</td>
<td valign="top" align="center">0</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Examination of instances containing <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic> reveals complex issues concerning its grammatical position in each function. Regarding grammatical functions, <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic> were positively primed as part of Object. Their divergence lies in the position they served in a nominal group. The word <italic>world</italic> was primed in favor of postmodification, while the word &#x04E16;&#x0754C; <italic>shi4jie4</italic> was primed in favor of premodification. At the nominal group level, the two nodes share a strong aversion to occurring at the noun head position.</p>
<p>The behavior of &#x04E16;&#x0754C; <italic>shi4jie4</italic> (and also <italic>world</italic>) was biased toward particular grammatical positions and against others when serving a particular grammatical function. The evidence also suggests that the preferences/avoidances are not always characteristics of the node&#x00027;s syntagmatic behavior and may interact with other such factors as collocation and semantic association. The complexity of the patterns identified in the study points to an interaction between units at different levels (e.g., collocation, colligation, and semantic association). Colligation data in the present study indicated that a word or word sequence is primed to occur in (or avoid) certain grammatical environments, particularly the grammatical function it serves and the position in a nominal group in this paper. The colligation priming is irrespective of its priming for collocation or semantic association. This finding collaborated with the &#x0201C;holistic storage&#x0201D; model postulated by Wray (<xref ref-type="bibr" rid="B28">2002</xref>), which refers to the combination of the way a word sequence is stored and retrieved as a whole and the way a word sequence is stored and retrieved with grammatical rules.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s5">
<title>Discussion</title>
<p>The essence of LPT says that a person&#x00027;s repeated exposure to contextualized instances of highly similar sequences results in his or her being primed to associate those sequences with the recurrent features of those contexts. Every word is primed due to the cumulative effects of an individual&#x00027;s encounters with that word. The accumulated encounters of a word in a certain context or co-text then formulate a speaker&#x00027;s knowledge of this word. Hoey applied the psychological concept &#x0201C;priming&#x0201D; to account for the recurrent co-occurrence of words. The psychological explanations of collocation and other linguistic features (e.g., grammars and semantics) account for the naturalness of language. Hoey said a psychological explanation of collocation and other features implies that &#x0201C;there is no rational basis for believing that everybody&#x00027;s primings are identical&#x0201D; (Hoey, <xref ref-type="bibr" rid="B11">2017</xref>, p. x). Previous research on LPT seeks to apply and advance the theory by testing English or other Indo-European languages. As a genetically and typologically different language from English, Chinese provides plenty of testing grounds for validating the theory. However, little research was conducted in applying the theory in cross-linguistic studies. To fill this gap, the present study attempted to extend the theory from the dimension of cross-linguistic contrast, which was not found in the literature. It sought to apply LPT as an explanation for cross-linguistic similarities and differences. LPT answers why collocation came into being and approaches the acquisition, understanding, and production of language; however, it does not address why similar or different primings occur in two distinct languages. The causal explanation underlying cross-linguistic behaviors needs to be provided. To answer these questions, we used cultural psychology as a backbone and claimed that words were primed culturally. Data displayed in the previous section will be discussed and accounted for.</p>
<p>We have examined the differences and similarities between <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic> in terms of the three fundamental concepts defined in LPT. In general, their divergence lies in their congruence. Based on the data, we found that both <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic> prefer to occur in the grammatical function of Object. In both English and Chinese, Object refers to the person or thing affected by the verb&#x00027;s action. It normally serves as a sentence&#x00027;s Rheme. The finding indicated that English and Chinese speakers commonly recognize <italic>world</italic> as an entity on which action can be taken. However, a different picture can be drawn if we glance at the verb collocates occurring before world and &#x04E16;&#x0754C; <italic>shi4jie4</italic> when functioning as part of Object. While the verbs preceding <italic>world</italic> are <italic>develop, change, dominate, explore</italic>, etc., the verbs co-occurring before &#x04E16;&#x0754C; <italic>shi4jie4</italic> are &#x08D70;&#x05411;<italic>zou3xiang4</italic> (to walk to), &#x04EAB;&#x08A89; <italic>xiang3yu4</italic> (to be well-known by), &#x095FB;&#x0540D; <italic>wen2ming2</italic> (to be renowned by), &#x06210;&#x04E3A; <italic>cheng2wei2</italic> (to become), &#x05C45; <italic>ju1</italic> (to rank), etc.</p>
<p>A large body of cross-cultural research has shown that Westerners generally meet daily challenges analytically, whereas traditional Chinese tend to take a holistic approach. The former approach refers to the &#x0201C;tendency to extract the underlying properties of an object or phenomenons from its context,&#x0201D; whereas the latter thinking style refers to the belief that &#x0201C;things are interconnected with each other, be this directly or indirectly&#x0201D; (Li et al., <xref ref-type="bibr" rid="B16">2010</xref>, p. 156). The difference between the two ways of thinking resides in how they view human beings&#x00027; connections with their contexts. The BNC language users may conceptualize the world based on the context and treat it as an entity that could be developed, changed, explored or even created. In contrast, the Chinese language users of zhTenTen 11 tend to adopt a <italic>zhong yong</italic> (the doctrine of the mean) relation with the world, ranking it at the top position of their evaluation system and wanting to &#x0201C;&#x06210;&#x04E3A; <italic>cheng2wei2</italic> (to become)&#x0201D; part of it, &#x0201C;&#x08D70;&#x05411; zou3xiang4 (to walk to)&#x0201D; it, and be well-known by people in other parts of it to keep connecting with it.</p>
<p>Sections The contrast of overall collocational and semantic associational behavior between <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic>, The contrast of clusters in respect of their collocational and semantic associational behaviors, and The contrast of colligational behaviors between <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic> demonstrated the collocational and colligational behaviors of frequently used word sequences across the two languages. The data showed that both <italic>world</italic> and &#x04E16;&#x0754C; <italic>shi4jie4</italic> preferred to appear in the phrase of <italic>in the world</italic>/&#x04E16;&#x0754C;&#x04E0A; <italic>shi4jie4shang4</italic>. The collocates co-occurred within a four-word span of the two node phrases generalized a similar semantic meaning, i.e., SUPERLATIVE. However, the divergence resides in their preference for grammatical positions. While <italic>in the world</italic> was strongly primed to occur at the postmodification position, &#x04E16;&#x0754C;&#x04E0A; <italic>shi4jie4shang4</italic> was primed to occur at the premodification position. We tentatively apply the cultural psychology concept of personal identity to explain this phenomenon. Personality, according to Fellmann (<xref ref-type="bibr" rid="B5">2017</xref>, p. 1,588), &#x0201C;...is often experienced by individuals as a kind of mental fluctuations.&#x0201D; It is latent in the individual and integrated society. Political and economic structures are important factors in society; however, the more important or core factor is &#x0201C;ideological frameworks&#x0201D; (Fellmann, <xref ref-type="bibr" rid="B5">2017</xref>). Western people&#x00027;s view of personhood emphasizes separating oneself from others, while Asian people emphasizes human beings&#x00027; fundamental connectedness to each other. The world of Confucius, like China, is &#x0201C;a patriarchal construction of cultural psychology in which hierarchy and geometrical order dominate&#x0201D; (Fellmann, <xref ref-type="bibr" rid="B5">2017</xref>, p. 1,588). This way of thinking habitually positions the most senior, knowledgeable, or authoritative person or thing as the arbiter of truth or moral order. This &#x0201C;authority-minded&#x0201D; (Shi and Feng, <xref ref-type="bibr" rid="B27">2010</xref>, p. 560) way of thinking influences China&#x00027;s ethical system of social hierarchy.</p>
<p>This cultural psychological pattern accounts for Chinese speakers&#x00027; preference for placing &#x04E16;&#x0754C;&#x04E0A; <italic>shi4jie4shang4</italic> at the position of premodifier to emphasize the following noun head, because &#x04E16;&#x0754C; <italic>shi4jie4</italic> was viewed as the most authoritative and powerful entity in the physical evaluation system. An example is the Chinese way of writing an address, which places &#x0201C;China&#x0201D; at the very beginning, followed by subordinate levels of governance. In contrast, Western countries are more likely to be open societies, in direct opposition to the dominant culture of closed or traditional societies. They view themselves as independent of collectives, are less likely to recognize authorities, and prioritize their preferences, needs, and goals. This cultural psychological pattern could account for their habitual application of <italic>in the world</italic> at the post-position to the noun head, because they do not recognize <italic>world</italic> as an authority to be privileged over the noun head.</p>
<p>The data collection sections found no unique word sequences in the two languages. The shared clusters differ in terms of either frequencies or collocates appearing adjacent to them. For example, as shown in Section The contrast of clusters in respect of their collocational and semantic associational behaviors, the <italic>second world war</italic> pair was found in both languages. However, co-occurrence counts and LogDice showed a cross-linguistic variation in users&#x00027; frequency and likelihood of picking up this sequence. English speakers strongly tend to use the word sequence in a semantic meaning of war PARTICIPANTS. Although occasionally associating this sequence with a similar meaning, Chinese speakers prefer applying it in the context of talking about the war&#x00027;s AFTERMATH and tend to avoid using it in their daily communication. While English language users demonstrate a strong preference for picking up the word sequence of <italic>the second world war</italic>, Chinese speakers are strongly primed to use the word sequence of &#x04E16;&#x0754C;&#x05404;&#x05730; <italic>shi4jie4ge4di4</italic> (every corner of the world) and prefer to associate it with a meaning of TRAVELING. Its English equivalent could be found in BNC, but with rather low frequency. This phenomenon could be accounted for from the perspective of individualism-collectivism, one of the most heavily researched dimensions of cultural psychology. The essence of individualism is the belief that the self is a self-contained, independent entity (Markus and Kitayama, <xref ref-type="bibr" rid="B17">1991</xref> cited in Chiu and Hong, <xref ref-type="bibr" rid="B4">2005</xref>, p. 26); the essence of collectivism is the belief that the self is interdependent with some ingroup. Yuki (<xref ref-type="bibr" rid="B31">2003</xref>) further distinguished between the collective self and the relational self, with the former referring to a depersonalized self-defined in terms of prototypical properties shared among group members, and the latter defined by enduring connections and role relations with significant others. He then argued that the relational self is more characteristic of East-Asian collectivism. As the region&#x00027;s largest country, China undoubtedly characterizes itself with this feature to the largest degree. Chinese people emphasize ingroup connectedness or <italic>Guanxi</italic>. Chang and Lee (<xref ref-type="bibr" rid="B3">2012</xref>, p. 298) noted that &#x0201C;The Chinese live in a world with finely defined layers of relationships that make in- and out-groups differentiate gradated rather than binary.&#x0201D; To fix a perfect personal identity, the Chinese must maintain harmonious relations with others, including physical environment or psychological context. Therefore, they TRAVEL the world to obtain more understanding about the living environment to build better relations. In comparison, the English speakers studied seemed driven by their personal goals, emphasizing rational analysis in their relationship with the outside world or others, rather than intuition.</p>
<p>Two key factors of LPT are encountering and accumulating. The cumulative effects of an individual&#x00027;s encounters decide the possibilities of later priming. Each person in a speech community has a unique language that harmonizes with the other speakers to a considerable degree, constructing a language unique to that speech community. However, LPT fails to account for the reasons underlying speakers&#x00027; decisions in the harmonizing process. Psychologically, a sense of belonging is the fundamental motive behind this behavior. One&#x00027;s participation in a culture is a means of fulfilling one&#x00027;s need to belong. Chiu and Hong (<xref ref-type="bibr" rid="B4">2005</xref>, p. 130) noted that a defining feature of a culture group is &#x0201C;the knowledge tradition believed to be mutually shared by the members of the cultural group.&#x0201D; When the need to belong to a group is activated, people who identify strongly with the ingroup will be motivated to adhere to its shared cultural tradition. People tend to view themselves as group members rather than separate individuals. Their need to belong to the ingroup is strengthened either by their realizing that they are different from others or not different from members of the ingroup (Chiu and Hong, <xref ref-type="bibr" rid="B4">2005</xref>). This sense of belongingness explains the priming process in that individuals try to append their unique language usage to their culture&#x00027;s core values, thus formulating that speech community&#x00027;s unified priming.</p>
</sec>
<sec sec-type="conclusions" id="s6">
<title>Conclusion</title>
<p>The study explored an effective way to apply LPT to explain cross-linguistic similarities and differences between English and Chinese. LPT is proposed based on the belief of &#x0201C;psychological association&#x0201D; between words and the mind. By making an analogy between mental concordance and computer concordance, Hoey applied corpus data to indicate the kinds of priming features present for language users. Gries (<xref ref-type="bibr" rid="B8">2012</xref>, p. 51) noted that data obtained from corpus linguistics &#x0201C;...are much concerned with things having immediate psycholinguistic and/or cognitive-linguistic relevance.&#x0201D; The data showcased in this paper align with much previous psycholinguistic research. The high frequency of using the clusters or word sequences across the two languages coincides with the &#x0201C;frequency effects&#x0201D; in psycholinguistics. Psycholinguists acknowledge a link between frequently used lexical items and features that trigger activation. By repeatedly encountering a word in a particular context, an individual&#x00027;s knowledge of the word is accumulated; &#x0201C;As social beings and as an integral part of all our animate and inanimate surroundings, we are touched, influenced, and formed by what we are exposed to&#x0201D; (Pace-Sigge, <xref ref-type="bibr" rid="B20">2013</xref>, p. 27). The quantitative data in the present study show that English and Chinese speakers&#x00027; cumulative effects are influenced by the regularity with which they are exposed to the word and their interactions with their societies. Chinese and English share similarities in collocation, semantic meaning, and colligation, but different priming characteristics, as demonstrated by their tendencies.</p>
<p>First, the quantitative data on collocations and clusters indicate that speakers in both languages have preferences for or repulsions against picking up a particular node and word sequence. They may be primed to associate similar meanings to the node but retrieve different words from their brain. Second, speakers in both languages make distinctive local syntactic options. The colligational data showcased syntactic option tendencies made regarding the node word, in line with lexicalist parsing theories in psycholinguistics, which holds that the recognition of a word or word sequence involves activating its grammatical option to &#x0201C;guide a further combinatory process&#x0201D; (Novick et al., <xref ref-type="bibr" rid="B19">2003</xref>, p. 58). Speakers in distinct speech communities may have similar choices for grammatical functions but differ in their positional appearance choices. Language users&#x00027; &#x0201C;mental concordances&#x0201D; are created through priming, and one could assume that continued encounters reinforce lexical and syntactical attachments to a particular lexical item in our neural network.</p>
<p>Based on the empirical data drawn from the corpora, we propose that words, in addition to being collocational, semantic associational, and colligational primed, are also culturally primed. To our knowledge, no research has been undertaken to apply or advance LPT in a cross-linguistic context between two genetically different languages, such as English and Chinese. Within the scope of cross-linguistic studies, there is no research accounting for the reasons behind cross-linguistic similarities and differences. The study attempted to apply LPT to interpret the lexical and grammatical features demonstrated by the two languages from a psychological perspective. Additionally, it extends the theory by considering the concept of cultural psychology. As Kashima (<xref ref-type="bibr" rid="B15">2015</xref>, p. 11) said, &#x0201C;Culture is neither a savior nor a nemesis; culture is a tool...it helps us to do what it is meant to do.&#x0201D; Corpus linguists and psychologists are urged to develop a better understanding of a person and his or her culture.</p>
</sec>
<sec sec-type="data-availability" id="s7">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="s8">
<title>Author contributions</title>
<p>The author confirms being the sole contributor of this work and has approved it for publication.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<back>
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<fn-group>
<fn id="fn0001"><p><sup>1</sup>When applying terms like &#x0201C;preference&#x0201D;/&#x0201C;avoidance,&#x0201D; we refer to the psychological preferences of the people using the word. Referring to preferences/avoidances in this way is a more economical way of describing the lexical behaviors found in English and Chinese. The primings indicated through the corpus data are not intended to suggest that words have preferences/avoidances themselves; rather, it is a simplified way of expressing the idea-demonstrated tendencies of the word (or word sequence) users.</p></fn>
<fn id="fn0002"><p><sup>2</sup>Mutual Correspondence value. This value was firstly introduced by Altenberg (<xref ref-type="bibr" rid="B1">1999</xref>). MC values of clusters containing the nodes were calculated based on the author&#x00027;s series of self-built datasets. If a corresponding pair has an MC value of more than 30%, it would be treated as strong equivalents in cross-linguistic or translational studies.</p></fn>
</fn-group>
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