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Statistical Translation of Text and Speech: First Results with the RWTH System

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Machine translation, (2000)

Abstract

In this paper, we describe a first version of a system for statistical translation and present experimental results. The statistical translation approach uses two types of information: a translation model and a language model. The language model used is a standard bigram model. The translation model is decomposed into lexical and alignment models. After presenting the details of the alignment model, we describe the search problem and present a dynamic programming-based solution for the special case of monotone alignments. So far, the system has been tested on two limited-domain tasks for which a bilingual corpus is available: the EuTrans traveller task (Spanish–English, 500-word vocabulary) and the Verbmobil task (German–English, 3000-word vocabulary).

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