Forms Wanted: Training SMT on Monolingual Data

Abstract

We propose and evaluate a simple technique of “reverse self-training” for statistical machine translation. The technique allows to extend target-side vocabulary of the MT system using target-side monolingual data and it is especially aimed at translation to morphologically rich languages. 
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