We investigated an efficient decoding algorithm for statistical machine translation. Compared to the other algorithms, this new algorithm is applicable to different translation models, and it is much faster. Experiments showed that the algorithm achieved an overall performance comparable to the state of the art decoding algorithms.

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In: International Conference on Spoken Language Processing

Publisher: International Speech Communication Association
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