Name-aware language model adaptation and sparse features for statistical machine translation

ASRU, pp. 324-330, 2015.

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Abstract:

We propose approaches improving statistical machine translation (SMT) performance, by developing name-aware language model adaptations and sparse features, in addition to extracting name-aware translation grammar and rules, adding name phrase table, and name translation driven decoding. Chinese-English translation experiments showed that ...More

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