一种查找引用关系中等价的算法

Kalman Gulzhamal, Ilyubayev Adelzhan, Aktaeva Dilara Aidosovna, Kasym Karlygash Kydyrbekkyzy, Likerova Zinaida Valentinovna, Dauletbek Aigerim
{"title":"一种查找引用关系中等价的算法","authors":"Kalman Gulzhamal, Ilyubayev Adelzhan, Aktaeva Dilara Aidosovna, Kasym Karlygash Kydyrbekkyzy, Likerova Zinaida Valentinovna, Dauletbek Aigerim","doi":"10.7753/ijcatr1204.1009","DOIUrl":null,"url":null,"abstract":"Establishing referential relations in discourse is one of the most relevant but difficult to model problems of automatic text analysis. Reference means attributing a textual unit (linguistic expression) to a non-linguistic object (referent). The correct interpretation of the statement in the analyzed text requires solving the referent of the textual reference about the object, that is, the reference of the textual expression. In this work, a model for resolving referential relations is proposed. The method used to solve the referential relationship is finding equivalence, that is, by calculating the degree of similarity of possible elements in the word, the similarity in the referential relationship is calculated, and as a result, the relationship value of the referent in the sequence of sentences is obtained. These opportunities will be a new beginning for solving referential relationships in the Kazakh language. Based on the possibilities of computer technology, this direction in developing language education creates a great opportunity for extensive research and analysis at various levels of the language treasure as a bright mirror of the spiritual and material culture of the people.","PeriodicalId":104117,"journal":{"name":"International Journal of Computer Applications Technology and Research","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Algorithm for Finding Equivalence in Referential Relations\",\"authors\":\"Kalman Gulzhamal, Ilyubayev Adelzhan, Aktaeva Dilara Aidosovna, Kasym Karlygash Kydyrbekkyzy, Likerova Zinaida Valentinovna, Dauletbek Aigerim\",\"doi\":\"10.7753/ijcatr1204.1009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Establishing referential relations in discourse is one of the most relevant but difficult to model problems of automatic text analysis. Reference means attributing a textual unit (linguistic expression) to a non-linguistic object (referent). The correct interpretation of the statement in the analyzed text requires solving the referent of the textual reference about the object, that is, the reference of the textual expression. In this work, a model for resolving referential relations is proposed. The method used to solve the referential relationship is finding equivalence, that is, by calculating the degree of similarity of possible elements in the word, the similarity in the referential relationship is calculated, and as a result, the relationship value of the referent in the sequence of sentences is obtained. These opportunities will be a new beginning for solving referential relationships in the Kazakh language. Based on the possibilities of computer technology, this direction in developing language education creates a great opportunity for extensive research and analysis at various levels of the language treasure as a bright mirror of the spiritual and material culture of the people.\",\"PeriodicalId\":104117,\"journal\":{\"name\":\"International Journal of Computer Applications Technology and Research\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computer Applications Technology and Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7753/ijcatr1204.1009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Applications Technology and Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7753/ijcatr1204.1009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

语篇中指称关系的建立是自动文本分析中最相关但最难建模的问题之一。指称是指将一个文本单位(语言表达)归属于一个非语言对象(指物)。要正确解释被分析文本中的语句,就需要解决文本指称对对象的指称,即文本表达的指称。在这项工作中,提出了一个解决参考关系的模型。解决指称关系的方法是寻找等价,即通过计算词中可能元素的相似度,计算出指称关系中的相似度,从而得到指称在句子序列中的关系值。这些机会将是解决哈萨克语指称关系的新开端。基于计算机技术的可能性,这种发展语言教育的方向为语言宝藏作为人们精神和物质文化的一面明亮的镜子,在各个层面上进行广泛的研究和分析创造了巨大的机会。
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
An Algorithm for Finding Equivalence in Referential Relations
Establishing referential relations in discourse is one of the most relevant but difficult to model problems of automatic text analysis. Reference means attributing a textual unit (linguistic expression) to a non-linguistic object (referent). The correct interpretation of the statement in the analyzed text requires solving the referent of the textual reference about the object, that is, the reference of the textual expression. In this work, a model for resolving referential relations is proposed. The method used to solve the referential relationship is finding equivalence, that is, by calculating the degree of similarity of possible elements in the word, the similarity in the referential relationship is calculated, and as a result, the relationship value of the referent in the sequence of sentences is obtained. These opportunities will be a new beginning for solving referential relationships in the Kazakh language. Based on the possibilities of computer technology, this direction in developing language education creates a great opportunity for extensive research and analysis at various levels of the language treasure as a bright mirror of the spiritual and material culture of the people.
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
自引率
0.00%
发文量
0
期刊最新文献
Performance and Failure Evaluation of Orifice Plate in Natural Gas Pipeline using Computer Aided Engineering (CAE) Interoperability Framework for Electronic Health Records (EHR) Systems for the Tanzanian Government Hospitals in Iringa Implementation of Predictive Learning using Convolutional Neural Networks and Matlab in Cholera Outbreaks The Performance of Convolutional Neural Network Architecture in Classification Advancing Tuberculosis Prediction: Integrating AI, CNN, and MATLAB for Enhanced Predictive Modelling
×
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