Mixture-Model Adaptation for SMT

We describe a mixture-model approach to adapting a Statistical Machine Translation System for new domains, using weights that depend on text distances to mixture components. We investigate a number of variants on this approach, including cross-domain versus dynamic adaptation; linear versus loglinear mixtures; language and translation model adaptation; different methods of assigning weights; and granularity of the source unit being adapted to. The best methods achieve gains of approximately one BLEU percentage point over a state-of-the art non-adapted baseline system.

• Publication year

  2007

• Venue

  WMT@ACL

• Publication date

  2007-06-23

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.3115/1626355.1626372
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Latent semantic analysis

  2008influential reference
• Lattice-based Minimum Error Rate Training for Statistical Machine Translation

  2008cited by this paper
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  2006cited by this paper
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  2006cited by this paper
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  2004cited by this paper
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  2004influential reference
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  2003cited by this paper
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  2003cited by this paper
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  2003cited by this paper
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  2002cited by this paper
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