科学文章中长名词复合词的分布特性:基于均匀信息密度假说的研究

IF 1 2区 文学 0 LANGUAGE & LINGUISTICS Corpus Linguistics and Linguistic Theory Pub Date : 2024-04-16 DOI:10.1515/cllt-2023-0028
John Gamboa, Kristina Braun, Juhani Järvikivi, Shanley E. M. Allen
{"title":"科学文章中长名词复合词的分布特性:基于均匀信息密度假说的研究","authors":"John Gamboa, Kristina Braun, Juhani Järvikivi, Shanley E. M. Allen","doi":"10.1515/cllt-2023-0028","DOIUrl":null,"url":null,"abstract":"Nominal compounds are a structure commonly used in scientific texts. Despite their commonality, very little is known about how they are distributed in scientific articles. Based on the Uniform Information Density hypothesis, which states that speakers communicate information at a constant rate, avoiding peaks and troughs of information transmission, we predict that nominal compounds should cluster toward the end of scientific texts, be preceded by supporting text that facilitates their understanding, and be repeated often after their first use. In this paper, we examine these predictions through a quantitative and a qualitative analysis of a corpus of scientific papers from the fields of Biology, Economics and Linguistics. While our investigation did not reveal definitive findings for the first and third predictions above, it did produce supporting evidence in favor of our second prediction, thus advancing our understanding of NC use and the choices speakers make when transmitting information.","PeriodicalId":45605,"journal":{"name":"Corpus Linguistics and Linguistic Theory","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The distributional properties of long nominal compounds in scientific articles: an investigation based on the uniform information density hypothesis\",\"authors\":\"John Gamboa, Kristina Braun, Juhani Järvikivi, Shanley E. M. Allen\",\"doi\":\"10.1515/cllt-2023-0028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nominal compounds are a structure commonly used in scientific texts. Despite their commonality, very little is known about how they are distributed in scientific articles. Based on the Uniform Information Density hypothesis, which states that speakers communicate information at a constant rate, avoiding peaks and troughs of information transmission, we predict that nominal compounds should cluster toward the end of scientific texts, be preceded by supporting text that facilitates their understanding, and be repeated often after their first use. In this paper, we examine these predictions through a quantitative and a qualitative analysis of a corpus of scientific papers from the fields of Biology, Economics and Linguistics. While our investigation did not reveal definitive findings for the first and third predictions above, it did produce supporting evidence in favor of our second prediction, thus advancing our understanding of NC use and the choices speakers make when transmitting information.\",\"PeriodicalId\":45605,\"journal\":{\"name\":\"Corpus Linguistics and Linguistic Theory\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Corpus Linguistics and Linguistic Theory\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1515/cllt-2023-0028\",\"RegionNum\":2,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"LANGUAGE & LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Corpus Linguistics and Linguistic Theory","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1515/cllt-2023-0028","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
引用次数: 0

摘要

名词性化合物是科学文章中常用的一种结构。尽管它们很常见,但人们对它们在科学文章中的分布却知之甚少。根据 "均匀信息密度假说"(Uniform Information Density hypothesis),即说话者以恒定的速度传递信息,避免信息传递的高峰和低谷,我们预测名词性复词应集中在科技文章的末尾,在其前面有有助于理解的辅助文字,并在首次使用后经常重复出现。在本文中,我们通过对生物学、经济学和语言学领域的科学论文语料库进行定量和定性分析,对上述预测进行了研究。虽然我们的调查没有为上述第一和第三项预测揭示明确的结论,但却为第二项预测提供了支持性证据,从而推进了我们对数控系统使用和说话者在传递信息时所作选择的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The distributional properties of long nominal compounds in scientific articles: an investigation based on the uniform information density hypothesis
Nominal compounds are a structure commonly used in scientific texts. Despite their commonality, very little is known about how they are distributed in scientific articles. Based on the Uniform Information Density hypothesis, which states that speakers communicate information at a constant rate, avoiding peaks and troughs of information transmission, we predict that nominal compounds should cluster toward the end of scientific texts, be preceded by supporting text that facilitates their understanding, and be repeated often after their first use. In this paper, we examine these predictions through a quantitative and a qualitative analysis of a corpus of scientific papers from the fields of Biology, Economics and Linguistics. While our investigation did not reveal definitive findings for the first and third predictions above, it did produce supporting evidence in favor of our second prediction, thus advancing our understanding of NC use and the choices speakers make when transmitting information.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.20
自引率
12.50%
发文量
15
期刊介绍: Corpus Linguistics and Linguistic Theory (CLLT) is a peer-reviewed journal publishing high-quality original corpus-based research focusing on theoretically relevant issues in all core areas of linguistic research, or other recognized topic areas. It provides a forum for researchers from different theoretical backgrounds and different areas of interest that share a commitment to the systematic and exhaustive analysis of naturally occurring language. Contributions from all theoretical frameworks are welcome but they should be addressed at a general audience and thus be explicit about their assumptions and discovery procedures and provide sufficient theoretical background to be accessible to researchers from different frameworks. Topics Corpus Linguistics Quantitative Linguistics Phonology Morphology Semantics Syntax Pragmatics.
期刊最新文献
The red dress is cute: why subjective adjectives are more often predicative A corpus-based study on semantic and cognitive features of bei sentences in Mandarin Chinese Verb influence on French wh-placement: a parallel corpus study Idiosyncratic entrenchment: tracing change in constructional schematicity with nested random effects A radically usage-based, collostructional approach to assessing the differences between negative modal contractions and their parent forms
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1