Moses: open source toolkit for statistical machine translation

  • Authors:
  • Philipp Koehn;Hieu Hoang;Alexandra Birch;Chris Callison-Burch;Marcello Federico;Nicola Bertoldi;Brooke Cowan;Wade Shen;Christine Moran;Richard Zens;Chris Dyer;Ondřej Bojar;Alexandra Constantin;Evan Herbst

  • Affiliations:
  • University of Edinburgh;University of Edinburgh;University of Edinburgh;University of Edinburgh;ITC-irst;ITC-irst;MIT;MIT;MIT;RWTH Aachen;University of Maryland;Charles University;Williams College;Cornell

  • Venue:
  • ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

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.