Hua Zhao, Fairouz Kamareddine, A. Gray, Hind Zantout
{"title":"A Novel Method That Identifies The Hidden Properties Of A Person’s Name In Kanji Or Hanzi","authors":"Hua Zhao, Fairouz Kamareddine, A. Gray, Hind Zantout","doi":"10.1145/3504006.3504022","DOIUrl":null,"url":null,"abstract":"Most Japanese persons’ Kanji names have similar characters with ’Hanzi’. For example, ’吉田悠人’ and ’欧阳沛南’ are two persons’ names. ’吉田悠人’ is a Kanji name, ’欧阳沛南’ is a Hanzi name. It is a challenge for a computer to identify the name origins between ’Hanzi’ and ’Kanji’ of a person’s name. In addition, we found that there are limited existing methods to identify more than one hidden property of people’s names at one time. In this paper, we aim to build a method that can identify the hidden properties of Hanzi names and Kanji names. Our novel method can point out the origin, the surname and the given name of a person’s name. The evaluation result shows that our method is better than an existing system ’TextBlob’ on predicting the origins of people’s names. The accuracy of our proposed method is 86.87%.","PeriodicalId":296534,"journal":{"name":"Proceedings of the 8th Multidisciplinary International Social Networks Conference","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 8th Multidisciplinary International Social Networks Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3504006.3504022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Most Japanese persons’ Kanji names have similar characters with ’Hanzi’. For example, ’吉田悠人’ and ’欧阳沛南’ are two persons’ names. ’吉田悠人’ is a Kanji name, ’欧阳沛南’ is a Hanzi name. It is a challenge for a computer to identify the name origins between ’Hanzi’ and ’Kanji’ of a person’s name. In addition, we found that there are limited existing methods to identify more than one hidden property of people’s names at one time. In this paper, we aim to build a method that can identify the hidden properties of Hanzi names and Kanji names. Our novel method can point out the origin, the surname and the given name of a person’s name. The evaluation result shows that our method is better than an existing system ’TextBlob’ on predicting the origins of people’s names. The accuracy of our proposed method is 86.87%.