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Similar Sentence Retrieval for Machine Translation Based on Word-Aligned Bilingual Corpus

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Information Retrieval Technology (AIRS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4993))

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Abstract

In this paper, we present a novel method to retrieve the similar examples from the corpus when given an input which should be translated, in which we use the word alignment between the bilingual sentence pair to measure the similarity of the input and the example.

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References

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Hang Li Ting Liu Wei-Ying Ma Tetsuya Sakai Kam-Fai Wong Guodong Zhou

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© 2008 Springer-Verlag Berlin Heidelberg

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Chao, WH., Li, ZJ. (2008). Similar Sentence Retrieval for Machine Translation Based on Word-Aligned Bilingual Corpus. In: Li, H., Liu, T., Ma, WY., Sakai, T., Wong, KF., Zhou, G. (eds) Information Retrieval Technology. AIRS 2008. Lecture Notes in Computer Science, vol 4993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68636-1_67

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  • DOI: https://doi.org/10.1007/978-3-540-68636-1_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68633-0

  • Online ISBN: 978-3-540-68636-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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