MTTK: an alignment toolkit for statistical machine translation

Authors:
Yonggang Deng;William Byrne
Affiliations:
Johns Hopkins University, Baltimore, MD;Cambridge University, Cambridge, UK
Venue:
NAACL-Demonstrations '06 Proceedings of the 2006 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume: demonstrations
Year:
2006

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Abstract

The MTTK alignment toolkit for statistical machine translation can be used for word, phrase, and sentence alignment of parallel documents. It is designed mainly for building statistical machine translation systems, but can be exploited in other multi-lingual applications. It provides computationally efficient alignment and estimation procedures that can be used for the unsupervised alignment of parallel text collections in a language independent fashion. MTTK Version 1.0 is available under the Open Source Educational Community License.