语料库方法研究俄语口语同形词结构及其视觉感知

Myasoedova M.A., Myasoedova Z.P., Eliseev A.V., Farkhadov M.P.
{"title":"语料库方法研究俄语口语同形词结构及其视觉感知","authors":"Myasoedova M.A., Myasoedova Z.P., Eliseev A.V., Farkhadov M.P.","doi":"10.1109/AICT55583.2022.10013572","DOIUrl":null,"url":null,"abstract":"In the article, we investigate how a person visually perceives and distinguishes words in oral speech with similar articulation patterns (homovisemes) from the speaker's lips. These words are defined by the term \"homovisemes\" introduced by the authors. To carry out our research, we have developed a corpus of homovisemes based on prepared material. This material is grouped into separate chains according to the principle of identical articulatory shells of words, with the exception of pseudowords. If such words are interchangeable, a person visually perceives them differently. The purpose of this research is to analyze if it is possible and expedient to use the homovisemes corpus to solve certain difficulties in how we learn to read from lips. In the article, we consider the main advantages of the corpus approach to this study. We present examples of possible variants of recognized words with similar visemes based on the content of the developed corpus. Our results allow us to conclude on how relevant the chosen topic is. The results will help us to predict uncertainty when choosing the right value. Work in this area will provide new results, create useful applications, and help people with hearing disabilities – an important social task.","PeriodicalId":441475,"journal":{"name":"2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Corpus approach to research the structure of homovisemes in Russian oral speech and their visual perception\",\"authors\":\"Myasoedova M.A., Myasoedova Z.P., Eliseev A.V., Farkhadov M.P.\",\"doi\":\"10.1109/AICT55583.2022.10013572\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the article, we investigate how a person visually perceives and distinguishes words in oral speech with similar articulation patterns (homovisemes) from the speaker's lips. These words are defined by the term \\\"homovisemes\\\" introduced by the authors. To carry out our research, we have developed a corpus of homovisemes based on prepared material. This material is grouped into separate chains according to the principle of identical articulatory shells of words, with the exception of pseudowords. If such words are interchangeable, a person visually perceives them differently. The purpose of this research is to analyze if it is possible and expedient to use the homovisemes corpus to solve certain difficulties in how we learn to read from lips. In the article, we consider the main advantages of the corpus approach to this study. We present examples of possible variants of recognized words with similar visemes based on the content of the developed corpus. Our results allow us to conclude on how relevant the chosen topic is. The results will help us to predict uncertainty when choosing the right value. Work in this area will provide new results, create useful applications, and help people with hearing disabilities – an important social task.\",\"PeriodicalId\":441475,\"journal\":{\"name\":\"2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AICT55583.2022.10013572\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICT55583.2022.10013572","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

在这篇文章中,我们研究了一个人如何在视觉上感知和区分口语中具有相似发音模式(同音)的单词。这些词由作者引入的术语“同形异构体”来定义。为了开展我们的研究,我们在制备材料的基础上开发了一个同质异构体语料库。除假词外,这些材料根据单词的相同发音壳的原则被分组成单独的链。如果这些词是可互换的,人们在视觉上就会有不同的感觉。本研究的目的是分析是否有可能和方便使用同形语料库来解决我们如何学习唇读的某些困难。在本文中,我们考虑了语料库方法在本研究中的主要优势。我们提出了基于开发的语料库内容的具有相似词素的可识别词的可能变体的示例。我们的结果使我们能够得出所选主题的相关性。结果将有助于我们在选择正确的值时预测不确定性。这一领域的工作将提供新的成果,创造有用的应用,并帮助听障人士-一项重要的社会任务。
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
Corpus approach to research the structure of homovisemes in Russian oral speech and their visual perception
In the article, we investigate how a person visually perceives and distinguishes words in oral speech with similar articulation patterns (homovisemes) from the speaker's lips. These words are defined by the term "homovisemes" introduced by the authors. To carry out our research, we have developed a corpus of homovisemes based on prepared material. This material is grouped into separate chains according to the principle of identical articulatory shells of words, with the exception of pseudowords. If such words are interchangeable, a person visually perceives them differently. The purpose of this research is to analyze if it is possible and expedient to use the homovisemes corpus to solve certain difficulties in how we learn to read from lips. In the article, we consider the main advantages of the corpus approach to this study. We present examples of possible variants of recognized words with similar visemes based on the content of the developed corpus. Our results allow us to conclude on how relevant the chosen topic is. The results will help us to predict uncertainty when choosing the right value. Work in this area will provide new results, create useful applications, and help people with hearing disabilities – an important social task.
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
Developing Voice Chatbot for Learning Maritime English Automated detection of myocardial infarction using ECG-based artificial intelligence models: a systematic review An Ontological Approach to the Development of Analytical Platform Language Toolkits Anomaly Detection in Cyber-Physical Systems based on BiGRU-VAE Interference Resistant Position Awareness for Collision Avoidance in Dense Drones Swarming
×
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