Factored Translation Models

Abstract

We present an extension of phrase-based statistical machine translation models that enables the straightforward integration of additional annotation at the word-level — may it be linguistic markup or automatically generated word classes. In a number of experiments we show that factored translation models lead to better translation performance, both in terms of automatic scores, as well as more grammatical coherence.

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