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|Title:||Translating from morphologically complex languages: A paraphrase-based approach||Authors:||Nakov, P.
|Issue Date:||2011||Citation:||Nakov, P.,Ng, H.T. (2011). Translating from morphologically complex languages: A paraphrase-based approach. ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies 1 : 1298-1307. ScholarBank@NUS Repository.||Abstract:||We propose a novel approach to translating from a morphologically complex language. Unlike previous research, which has targeted word inflections and concatenations, we focus on the pairwise relationship between morphologically related words, which we treat as potential paraphrases and handle using paraphrasing techniques at the word, phrase, and sentence level. An important advantage of this framework is that it can cope with derivational morphology, which has so far remained largely beyond the capabilities of statistical machine translation systems. Our experiments translating from Malay, whose morphology is mostly derivational, into English show significant improvements over rivaling approaches based on five automatic evaluation measures (for 320,000 sentence pairs; 9.5 million English word tokens). © 2011 Association for Computational Linguistics.||Source Title:||ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies||URI:||http://scholarbank.nus.edu.sg/handle/10635/41952||ISBN:||9781932432879|
|Appears in Collections:||Staff Publications|
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