BBN's Systems for the Chinese-English Sub-task of the NTCIR-10 PatentMT Evaluation

This paper describes the systems we developed at Raytheon BBN Technologies for the Chinese-English sub-task of the Patent Machine Translation Task (PatentMT) of the NTCIR10 workshop. Our systems were originally built for translating newswire articles and were subsequently adapted to address some special problems of patent documents in the NTCIR-9 PatentMT evaluation. We applied some of our recent advancements in translation to the patent domain and investigated a sentence-level language model adaptation approach to take advantage of the characteristics of patent documents. These approaches contributed substantially to the improvement of translation quality and our systems achieved the best results among all submissions across all of the evaluation types and evaluation metrics.

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