{"title":"基于规则的印地语分块器","authors":"S. Asopa, Pooja Asopa, Iti Mathur, Nisheeth Joshi","doi":"10.1109/IC3I.2016.7918005","DOIUrl":null,"url":null,"abstract":"In this research paper, a rule based chunker is developed and evaluated. For the development of the chunker, handcrafted linguistic rules for mainly noun, adverb, verb, adjective phrases and conjuncts were generated. Indian Languages Chunk Tagset is used for annotations. In order to evaluate, 500 sentences of Hindi language tagged by HMM tagger were considered and given as an input to our chunker. Precision, Recall and F-Measure for the system were calculated and found to be 79.68, 69.36 and 74.16 respectively.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Rule based chunker for Hindi\",\"authors\":\"S. Asopa, Pooja Asopa, Iti Mathur, Nisheeth Joshi\",\"doi\":\"10.1109/IC3I.2016.7918005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research paper, a rule based chunker is developed and evaluated. For the development of the chunker, handcrafted linguistic rules for mainly noun, adverb, verb, adjective phrases and conjuncts were generated. Indian Languages Chunk Tagset is used for annotations. In order to evaluate, 500 sentences of Hindi language tagged by HMM tagger were considered and given as an input to our chunker. Precision, Recall and F-Measure for the system were calculated and found to be 79.68, 69.36 and 74.16 respectively.\",\"PeriodicalId\":305971,\"journal\":{\"name\":\"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC3I.2016.7918005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3I.2016.7918005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this research paper, a rule based chunker is developed and evaluated. For the development of the chunker, handcrafted linguistic rules for mainly noun, adverb, verb, adjective phrases and conjuncts were generated. Indian Languages Chunk Tagset is used for annotations. In order to evaluate, 500 sentences of Hindi language tagged by HMM tagger were considered and given as an input to our chunker. Precision, Recall and F-Measure for the system were calculated and found to be 79.68, 69.36 and 74.16 respectively.
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