Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/80365
Title: Passive and pervasive use of a bilingual dictionary in statistical machine translation
Authors: Tan, Liling
Josef van Genabith
Bond, Francis
Keywords: Linguistics and Multilingual Studies
Issue Date: 2015
Source: 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.
Abstract: 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.
URI: https://hdl.handle.net/10356/80365
http://hdl.handle.net/10220/40504
Rights: © 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.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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