Rule-based Reordering Space in Statistical Machine Translation

LREC 2014 Nicolas P{\'e}cheuxAlex AllauzenerFran{\c{c}}ois Yvon

In Statistical Machine Translation (SMT), the constraints on word reorderings have a great impact on the set of potential translations that are explored. Notwithstanding computationnal issues, the reordering space of a SMT system needs to be designed with great care: if a larger search space is likely to yield better translations, it may also lead to more decoding errors, because of the added ambiguity and the interaction with the pruning strategy... (read more)

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