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Obtaining Word Phrases with Stochastic Inversion Transduction Grammars for Phrase-based Statistical Machine Translation. Proc. 11th Annual conference of the European Association for Machine Translation, 2006. pp. 179-186.Phrase-based statistical translation systems are currently providing excellent results in real machine translation tasks. In phrase-based statistical translation systems, the basic translation units are word phrases. An important problem that is related to the estimation of phrase-based statistical models is the obtaining of word phrases from an aligned bilingual training corpus. In this work, we propose obtaining word phrases by means of a Stochastic Inversion Transduction Grammar. Preliminary experiments have been carried out on real tasks and promising results have been obtained.