Moses: open source toolkit for statistical machine translation
ACL(2007)
摘要
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.
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关键词
open source toolkit,translation task,statistical machine translation,confusion network decoding,language model,smt decoder,translation model,novel contribution,efficient data format,linguistically motivated factor,open-source toolkit
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