Title: Computing Consensus Translation from Multiple Machine Translation Systems

Authors: Srinivas Bangalore, German Bordel, Giuseppe Riccardi

Abstract: In this paper, we address the problem of computing a consensus translation given the outputs from a set of Machine Translation~(MT) systems. The translations from the MT systems are aligned with a multiple string alignment algorithm and the consensus translation is then computed. We describe the multiple
string alignment algorithm and the consensus MT hypothesis computation. We report on the subjective and objective performance of the multilingual acquisition approach on a limited domain spoken language application. We evaluate five domain-independent off-the-shelf MT systems and show that the consensus-based translation performs equal or better than any of the given MT systems both in terms of objective and subjective measures.

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