Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/41952
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dc.titleTranslating from morphologically complex languages: A paraphrase-based approach
dc.contributor.authorNakov, P.
dc.contributor.authorNg, H.T.
dc.date.accessioned2013-07-04T08:39:46Z
dc.date.available2013-07-04T08:39:46Z
dc.date.issued2011
dc.identifier.citationNakov, 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.
dc.identifier.isbn9781932432879
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41952
dc.description.abstractWe 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.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
dc.description.volume1
dc.description.page1298-1307
dc.identifier.isiutNOT_IN_WOS
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