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Phrase-level System Combination for Machine Translation Based on
Target-to-Target Decoding

Ma, Wei-Yun; McKeown, Kathleen

In this paper, we propose a novel lattice-based MT combination methodology that we call Target-to-Target Decoding (TTD). The combination process is carried out as a “translation” from backbone to the combination result. This perspective suggests the use of existing phrase-based MT techniques in the combination framework. We show how phrase extraction rules and confidence estimations inspired from machine translation improve results. We also propose system-specific LMs for estimating N-gram consensus. Our results show that our approach yields a strong improvement over the best single MT system and competes with other state-of-the-art combination systems.

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Academic Units
Computer Science
Published Here
April 24, 2013
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