{"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.