Moses: Open Source Toolkit for Statistical Machine Translation

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Moses: Open Source Toolkit for Statistical Machine Translation (2007)

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by Philipp Koehn, Hieu Hoang , Alexandra Birch , Chris Callison-burch , Richard Zens , Marcello Federico , Nicola Bertoldi , Chris Dyer , Brooke Cowan , Wade Shen , Christine Moran , Ondrej Bojar, Alexandra Constantin , Evan Herbst

Venue:	ACL
Citations:	1517 - 66 self

BibTeX

@MISC{Koehn07moses:open,
    author = {Philipp Koehn and Hieu Hoang and Alexandra Birch and Chris Callison-burch and Richard Zens and Marcello Federico and Nicola Bertoldi and Chris Dyer and Brooke Cowan and Wade Shen and Christine Moran and Ondrej Bojar and Alexandra Constantin and Evan Herbst},
    title = {Moses: Open Source Toolkit for Statistical Machine Translation},
    year = {2007}
}

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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.

Keyphrases

statistical machine translation open source toolkit smt decoder open-source toolkit efficient data format translation model wide variety motivated factor novel contribution confusion network decoding language model many translation task

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