Development and Evaluation of a Model for Japanese Honorific Expressions Using Assembly Minutes

Hokuto Ototake, Kenji Yoshimura
{"title":"Development and Evaluation of a Model for Japanese Honorific Expressions Using Assembly Minutes","authors":"Hokuto Ototake, Kenji Yoshimura","doi":"10.1109/IALP.2012.36","DOIUrl":null,"url":null,"abstract":"In this study, we describe a model of Japanese honorific expressions that is constructed automatically from assembly minutes. The Japanese language has a complicated system of honorific expressions. In assemblies in Japan, speakers usually speak using honorific expression. Hence, we create a maximum entropy model for honorific expressions from assembly minutes released by Fukuoka City, Japan. Evaluations show that our model has an accuracy of 88.2% for choosing suitable honorific expressions. In particular, it shows the best precision of 95.9% for the classification of Sonkeigo at the end of a sentence.","PeriodicalId":299331,"journal":{"name":"International Conference on Asian Language Processing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Asian Language Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IALP.2012.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In this study, we describe a model of Japanese honorific expressions that is constructed automatically from assembly minutes. The Japanese language has a complicated system of honorific expressions. In assemblies in Japan, speakers usually speak using honorific expression. Hence, we create a maximum entropy model for honorific expressions from assembly minutes released by Fukuoka City, Japan. Evaluations show that our model has an accuracy of 88.2% for choosing suitable honorific expressions. In particular, it shows the best precision of 95.9% for the classification of Sonkeigo at the end of a sentence.
基于会议记录的日语敬语表达模式的开发与评价
在本研究中,我们描述了一个由会议记录自动构建的日语敬语表达模型。日语有一个复杂的敬语表达系统。在日本的集会上,演讲者通常使用敬语。因此,我们对日本福冈市发布的会议纪要中的敬语表达建立了最大熵模型。评价表明,该模型在选择合适的敬语表达方面的准确率为88.2%。其中,对句尾的Sonkeigo分类准确率最高,达到95.9%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信