articleJan 1, 2007GOLD OA

Moses

University of Edinburgh · RWTH Aachen University · +5 more institutions

Indexed incrossref

Abstract

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.

Citation impact

4,886
total citations
FWCI
348.09
Percentile
100%
References
19
Citations per year

Authors

14

Topics & keywords

Keywords
  • Computer science
  • Machine translation
  • Variety (cybernetics)
  • Confusion
  • Translation (biology)
  • Decoding methods
  • Natural language processing
  • Artificial intelligence
UN Sustainable Development Goals
  • Quality Education
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