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
14Topics & 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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