{"title":"利用词源检测和词典查找提高音译的准确性","authors":"Mitesh M. Khapra, P. Bhattacharyya","doi":"10.3115/1699705.1699727","DOIUrl":null,"url":null,"abstract":"We propose a framework for transliteration which uses (i) a word-origin detection engine (pre-processing) (ii) a CRF based transliteration engine and (iii) a re-ranking model based on lexicon-lookup (post-processing). The results obtained for English-Hindi and English-Kannada transliteration show that the preprocessing and post-processing modules improve the top-1 accuracy by 7.1%.","PeriodicalId":262513,"journal":{"name":"NEWS@IJCNLP","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Improving Transliteration Accuracy Using Word-Origin Detection and Lexicon Lookup\",\"authors\":\"Mitesh M. Khapra, P. Bhattacharyya\",\"doi\":\"10.3115/1699705.1699727\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a framework for transliteration which uses (i) a word-origin detection engine (pre-processing) (ii) a CRF based transliteration engine and (iii) a re-ranking model based on lexicon-lookup (post-processing). The results obtained for English-Hindi and English-Kannada transliteration show that the preprocessing and post-processing modules improve the top-1 accuracy by 7.1%.\",\"PeriodicalId\":262513,\"journal\":{\"name\":\"NEWS@IJCNLP\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NEWS@IJCNLP\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3115/1699705.1699727\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NEWS@IJCNLP","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3115/1699705.1699727","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improving Transliteration Accuracy Using Word-Origin Detection and Lexicon Lookup
We propose a framework for transliteration which uses (i) a word-origin detection engine (pre-processing) (ii) a CRF based transliteration engine and (iii) a re-ranking model based on lexicon-lookup (post-processing). The results obtained for English-Hindi and English-Kannada transliteration show that the preprocessing and post-processing modules improve the top-1 accuracy by 7.1%.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
