词间语义距离的计算:从同义词到反义词

IF 0.7 2区 文学 0 LANGUAGE & LINGUISTICS Journal of Quantitative Linguistics Pub Date : 2019-04-03 DOI:10.1080/09296174.2018.1452524
M. Vakulenko
{"title":"词间语义距离的计算:从同义词到反义词","authors":"M. Vakulenko","doi":"10.1080/09296174.2018.1452524","DOIUrl":null,"url":null,"abstract":"Abstract A new approach to numerically measure the semantic distances between lexical units (words and collocations) based on the geometric analogies and analytical calculation, is put forward. Having considered the cases of equal and different weights of semes, we obtained exact algebraic formulas describing different levels of the meanings proximity, ranging from absolute synonymy to full antonymy. It was emphasized that absolute synonymy arises when the compared units contain equal numbers of semes that fully coincide and have equal weights in the corresponding pairs. Calculation of the semes weights helps to locate the unit more precisely on the semantic sphere. It was shown that the level of synonymy and antonymy decreases if different semes are accentuated, while the semantic distance between the units without identical semes cannot be influenced by seme boosting. It was observed that depending on the context, a word may wander over this sphere, thus modifying its lexical semantic relations with other units. As the proposed approach contributes to formalization of the units comparison procedure, it is advisable for incorporation into relevant automatic tools, particularly into WordNet and FrameNet. The obtained results may be useful for various linguistic and associated studies including automatic text analysis and processing, computer lexicography, information search and retrieval, machine translation and other NLP applications that are related to the artificial intelligence problem.","PeriodicalId":45514,"journal":{"name":"Journal of Quantitative Linguistics","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2019-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09296174.2018.1452524","citationCount":"9","resultStr":"{\"title\":\"Calculation of Semantic Distances Between Words: From Synonymy to Antonymy\",\"authors\":\"M. Vakulenko\",\"doi\":\"10.1080/09296174.2018.1452524\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract A new approach to numerically measure the semantic distances between lexical units (words and collocations) based on the geometric analogies and analytical calculation, is put forward. Having considered the cases of equal and different weights of semes, we obtained exact algebraic formulas describing different levels of the meanings proximity, ranging from absolute synonymy to full antonymy. It was emphasized that absolute synonymy arises when the compared units contain equal numbers of semes that fully coincide and have equal weights in the corresponding pairs. Calculation of the semes weights helps to locate the unit more precisely on the semantic sphere. It was shown that the level of synonymy and antonymy decreases if different semes are accentuated, while the semantic distance between the units without identical semes cannot be influenced by seme boosting. It was observed that depending on the context, a word may wander over this sphere, thus modifying its lexical semantic relations with other units. As the proposed approach contributes to formalization of the units comparison procedure, it is advisable for incorporation into relevant automatic tools, particularly into WordNet and FrameNet. The obtained results may be useful for various linguistic and associated studies including automatic text analysis and processing, computer lexicography, information search and retrieval, machine translation and other NLP applications that are related to the artificial intelligence problem.\",\"PeriodicalId\":45514,\"journal\":{\"name\":\"Journal of Quantitative Linguistics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2019-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/09296174.2018.1452524\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Quantitative Linguistics\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1080/09296174.2018.1452524\",\"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":"Journal of Quantitative Linguistics","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1080/09296174.2018.1452524","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: 9

摘要

摘要提出了一种基于几何类比和解析计算的词汇单位(词和搭配)之间语义距离的数值测量方法。在考虑了义权相等和不同的情况下,我们得到了从绝对同义词到完全反义词的不同意义接近程度的精确代数公式。当被比较的单位包含相同数量的完全重合且在相应的对中具有相同权重的义时,就会出现绝对同义。义位权值的计算有助于在语义范围内更精确地定位单元。结果表明,强化不同义素会降低同义词和反义词的水平,而强化义素不会影响义素不相同的单元之间的语义距离。我们观察到,根据上下文,一个词可能会在这个范围内徘徊,从而改变其与其他单位的词汇语义关系。由于建议的方法有助于单元比较过程的形式化,因此建议将其合并到相关的自动工具中,特别是合并到WordNet和FrameNet中。所获得的结果可能对各种语言学和相关研究有用,包括自动文本分析和处理,计算机词典编纂,信息搜索和检索,机器翻译和其他与人工智能问题相关的NLP应用。
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
Calculation of Semantic Distances Between Words: From Synonymy to Antonymy
Abstract A new approach to numerically measure the semantic distances between lexical units (words and collocations) based on the geometric analogies and analytical calculation, is put forward. Having considered the cases of equal and different weights of semes, we obtained exact algebraic formulas describing different levels of the meanings proximity, ranging from absolute synonymy to full antonymy. It was emphasized that absolute synonymy arises when the compared units contain equal numbers of semes that fully coincide and have equal weights in the corresponding pairs. Calculation of the semes weights helps to locate the unit more precisely on the semantic sphere. It was shown that the level of synonymy and antonymy decreases if different semes are accentuated, while the semantic distance between the units without identical semes cannot be influenced by seme boosting. It was observed that depending on the context, a word may wander over this sphere, thus modifying its lexical semantic relations with other units. As the proposed approach contributes to formalization of the units comparison procedure, it is advisable for incorporation into relevant automatic tools, particularly into WordNet and FrameNet. The obtained results may be useful for various linguistic and associated studies including automatic text analysis and processing, computer lexicography, information search and retrieval, machine translation and other NLP applications that are related to the artificial intelligence problem.
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
2.90
自引率
7.10%
发文量
7
期刊介绍: The Journal of Quantitative Linguistics is an international forum for the publication and discussion of research on the quantitative characteristics of language and text in an exact mathematical form. This approach, which is of growing interest, opens up important and exciting theoretical perspectives, as well as solutions for a wide range of practical problems such as machine learning or statistical parsing, by introducing into linguistics the methods and models of advanced scientific disciplines such as the natural sciences, economics, and psychology.
期刊最新文献
Exploring Colligation Diversity and Grammaticalization in Chinese: An Entropy-Based Approach The Menzerath-Altmann Law at the Paragraph Level in Written Chinese: Why Register and Text Size Matter? An Information-Theoretic Approach to Morphosyntactic Complexity in English, Dutch and German Investigating the Hierarchical Relationship Between Clause and Phrase Using the Menzerath-Altmann Law: Evidence from Academic Research Articles Quantifying Syntactic Complexity in Czech Texts: An Analysis of Mean Dependency Distance and Average Sentence Length Across Genres
×
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