Fixed length word suffix for factored statistical machine translation

Authors:
Narges Sharif Razavian;Stephan Vogel
Affiliations:
Carnegie Mellon Universiy, Pittsburgh;Carnegie Mellon Universiy, Pittsburgh
Venue:
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Year:
2010

Citing 2
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Abstract

Factored Statistical Machine Translation extends the Phrase Based SMT model by allowing each word to be a vector of factors. Experiments have shown effectiveness of many factors, including the Part of Speech tags in improving the grammaticality of the output. However, high quality part of speech taggers are not available in open domain for many languages. In this paper we used fixed length word suffix as a new factor in the Factored SMT, and were able to achieve significant improvements in three set of experiments: large NIST Arabic to English system, medium WMT Spanish to English system, and small TRANSTAC English to Iraqi system.