Moses: Open Source Toolkit for Statistical Machine Translation

We describe an open-source toolkit for statistical machine translation whose novel contributions are (a) support for linguistically motivated factors, (b) confusion network decoding, and (c) efficient data formats for translation models and language models. In addition to the SMT decoder, the toolkit also includes a wide variety of tools for training, tuning and applying the system to many translation tasks.

• Publication year

  2007

• Venue

  Annual Meeting of the Association for Computational Linguistics

• Publication date

  2007-06-01

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.3115/1557769.1557821
• 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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