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• W2145604837 abstract "This paper proposes new algorithms to compute the sense similarity between two units (words, phrases, rules, etc.) from parallel corpora. The sense similarity scores are computed by using the vector space model. We then apply the algorithms to statistical machine translation by computing the sense similarity between the source and target side of translation rule pairs. Similarity scores are used as additional features of the translation model to improve translation performance. Significant improvements are obtained over a state-of-the-art hierarchical phrase-based machine translation system." @default.
• W2145604837 created "2016-06-24" @default.
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• W2145604837 date "2010-07-11" @default.
• W2145604837 modified "2023-10-16" @default.
• W2145604837 title "Bilingual Sense Similarity for Statistical Machine Translation" @default.
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• W2145604837 hasPublicationYear "2010" @default.
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