Iterative Refinement for Machine Translation.

arXiv: Computation and Language, (2018)

Cited by: 16|Views43
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Abstract

Existing machine translation decoding algorithms generate translations in a strictly monotonic fashion and never revisit previous decisions. As a result, earlier mistakes cannot be corrected at a later stage. In this paper, we present a translation scheme that starts from an initial guess and then makes iterative improvements that may rev...More

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