Fast decoding for statistical machine translation

We investigated an e cient decoding algorithm for statistical machine translation. Compared to the other algorithms, this new algorithm is applicable to di erent translation models, and it is much faster. Experiments showed that the algorithm achieved an overall performance comparable to the state of the art decoding algorithms.

• Publication year

  1998

• Venue

  ICSLP

• Publication date

  1998-11-30

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.21437/ICSLP.1998-580
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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