Hua Zhao, Fairouz Kamareddine, A. Gray, Hind Zantout
{"title":"一种识别汉字或汉字姓名隐藏属性的新方法","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":"{\"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}","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}
A Novel Method That Identifies The Hidden Properties Of A Person’s Name In Kanji Or Hanzi
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%.