Passive and pervasive use of a bilingual dictionary in statistical machine translation

There are two primary approaches to the use bilingual dictionary in statistical machine translation: (i) the passive approach of appending the parallel training data with a bilingual dictionary and (ii) the pervasive approach of enforcing translation as per the dictionary entries when decoding. Prev...

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Main Authors:	Tan, Liling, Josef van Genabith, Bond, Francis
Other Authors:	School of Humanities and Social Sciences
Format:	Conference or Workshop Item
Language:	English
Published:	2016
Subjects:	Linguistics and Multilingual Studies
Online Access:	https://hdl.handle.net/10356/80365 http://hdl.handle.net/10220/40504 http://glicom.upf.edu/hytra2015/pdf/HyTra-405.pdf
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-803652019-12-06T13:48:01Z Passive and pervasive use of a bilingual dictionary in statistical machine translation Tan, Liling Josef van Genabith Bond, Francis School of Humanities and Social Sciences Proceedings of the ACL 2015 Fourth Workshop on Hybrid Approaches to Translation Linguistics and Multilingual Studies There are two primary approaches to the use bilingual dictionary in statistical machine translation: (i) the passive approach of appending the parallel training data with a bilingual dictionary and (ii) the pervasive approach of enforcing translation as per the dictionary entries when decoding. Previous studies have shown that both approaches provide external lexical knowledge to statistical machine translation thus improving translation quality. We empirically investigate the effects of both approaches on the same dataset and provide further insights on how lexical information can be reinforced in statistical machine translation. Published version 2016-05-09T08:23:51Z 2019-12-06T13:48:01Z 2016-05-09T08:23:51Z 2019-12-06T13:48:01Z 2015-07-01 2015 Conference Paper Tan, L., Josef van Genabith, & Bond, F. (2015). Passive and Pervasive Use of a Bilingual Dictionary in Statistical Machine Translation. Proceedings of the ACL 2015 Fourth Workshop on Hybrid Approaches to Translation, 30-34. https://hdl.handle.net/10356/80365 http://hdl.handle.net/10220/40504 http://glicom.upf.edu/hytra2015/pdf/HyTra-405.pdf 191854 en © 2015 Association for Computational Linguistics (ACL). This paper was published in Proceedings of the ACL 2015 Fourth Workshop on Hybrid Approaches to Translation and is made available as an electronic reprint (preprint) with permission of Association for Computational Linguistics (ACL). The published version is available at: [http://glicom.upf.edu/hytra2015/pdf/HyTra-405.pdf]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 5 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
topic	Linguistics and Multilingual Studies
spellingShingle	Linguistics and Multilingual Studies Tan, Liling Josef van Genabith Bond, Francis Passive and pervasive use of a bilingual dictionary in statistical machine translation
description	There are two primary approaches to the use bilingual dictionary in statistical machine translation: (i) the passive approach of appending the parallel training data with a bilingual dictionary and (ii) the pervasive approach of enforcing translation as per the dictionary entries when decoding. Previous studies have shown that both approaches provide external lexical knowledge to statistical machine translation thus improving translation quality. We empirically investigate the effects of both approaches on the same dataset and provide further insights on how lexical information can be reinforced in statistical machine translation.
author2	School of Humanities and Social Sciences
author_facet	School of Humanities and Social Sciences Tan, Liling Josef van Genabith Bond, Francis
format	Conference or Workshop Item
author	Tan, Liling Josef van Genabith Bond, Francis
author_sort	Tan, Liling
title	Passive and pervasive use of a bilingual dictionary in statistical machine translation
title_short	Passive and pervasive use of a bilingual dictionary in statistical machine translation
title_full	Passive and pervasive use of a bilingual dictionary in statistical machine translation
title_fullStr	Passive and pervasive use of a bilingual dictionary in statistical machine translation
title_full_unstemmed	Passive and pervasive use of a bilingual dictionary in statistical machine translation
title_sort	passive and pervasive use of a bilingual dictionary in statistical machine translation
publishDate	2016
url	https://hdl.handle.net/10356/80365 http://hdl.handle.net/10220/40504 http://glicom.upf.edu/hytra2015/pdf/HyTra-405.pdf
_version_	1681043516242788352

Passive and pervasive use of a bilingual dictionary in statistical machine translation

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