{"title":"字内码交换的自动检测","authors":"Dong Nguyen, L. Cornips","doi":"10.18653/v1/W16-2013","DOIUrl":null,"url":null,"abstract":"Many people are multilingual and they may draw from multiple language varieties when writing their messages. This paper is a first step towards analyzing and detecting code-switching within words. We first segment words into smaller units. Then, words are identified that are composed of sequences of subunits associated with different languages. We demonstrate our method on Twitter data in which both Dutch and dialect varieties labeled as Limburgish, a minority language, are used.","PeriodicalId":186158,"journal":{"name":"Special Interest Group on Computational Morphology and Phonology Workshop","volume":"52 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Automatic Detection of Intra-Word Code-Switching\",\"authors\":\"Dong Nguyen, L. Cornips\",\"doi\":\"10.18653/v1/W16-2013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many people are multilingual and they may draw from multiple language varieties when writing their messages. This paper is a first step towards analyzing and detecting code-switching within words. We first segment words into smaller units. Then, words are identified that are composed of sequences of subunits associated with different languages. We demonstrate our method on Twitter data in which both Dutch and dialect varieties labeled as Limburgish, a minority language, are used.\",\"PeriodicalId\":186158,\"journal\":{\"name\":\"Special Interest Group on Computational Morphology and Phonology Workshop\",\"volume\":\"52 4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Special Interest Group on Computational Morphology and Phonology Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18653/v1/W16-2013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Special Interest Group on Computational Morphology and Phonology Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18653/v1/W16-2013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Many people are multilingual and they may draw from multiple language varieties when writing their messages. This paper is a first step towards analyzing and detecting code-switching within words. We first segment words into smaller units. Then, words are identified that are composed of sequences of subunits associated with different languages. We demonstrate our method on Twitter data in which both Dutch and dialect varieties labeled as Limburgish, a minority language, are used.
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