Moses: Open Source Toolkit for Statistical Machine Translation

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationProceedings of the 45th Annual Meeting of the Association for Computational Linguistics Companion Volume Proceedings of the Demo and Poster Sessions
Place of PublicationPrague, Czech Republic
PublisherAssociation for Computational Linguistics
Pages177-180
Number of pages4
Publication statusPublished - 1 Jun 2007

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