Chunk-based statistical translation

  • Authors:
  • Taro Watanabe;Eiichiro Sumita;Hiroshi G. Okuno

  • Affiliations:
  • Research Laboratories, Kyoto, Japan;Research Laboratories, Kyoto, Japan;Kyoto University, Kyoto, Japan

  • Venue:
  • ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
  • Year:
  • 2003

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Abstract

This paper describes an alternative translation model based on a text chunk under the framework of statistical machine translation. The translation model suggested here first performs chunking. Then, each word in a chunk is translated. Finally, translated chunks are reordered. Under this scenario of translation modeling, we have experimented on a broad-coverage Japanese-English traveling corpus and achieved improved performance.