{"title":"Improving Generation in Machine Translation by Separating Syntactic and Morphological Processes","authors":"N. Karamat, M. K. Malik, S. Hussain","doi":"10.1109/FIT.2011.43","DOIUrl":null,"url":null,"abstract":"This paper presents a generation approach in a Lexical Functional Grammar (LFG) based machine translation system that subdivides the generation process and uses rule based modules to solve the problem. The results show improvement in performance versus earlier work which generates the translation into Urdu using a single integrated process.","PeriodicalId":101923,"journal":{"name":"2011 Frontiers of Information Technology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Frontiers of Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FIT.2011.43","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper presents a generation approach in a Lexical Functional Grammar (LFG) based machine translation system that subdivides the generation process and uses rule based modules to solve the problem. The results show improvement in performance versus earlier work which generates the translation into Urdu using a single integrated process.
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