BBN's Systems for the Chinese-English Sub-task of the NTCIR-10 PatentMT Evaluation.
Zhongqiang Huang, Jacob Devlin, Spyros Matsoukas · 2011
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 NTCIR-10 workshop. Our systems were originally built for trans-lating 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 re-cent advancements in translation to the patent domain and investigated a sentence-level language model adaptation ap-proach to take advantage of the characteristics of patent doc-uments. These approaches contributed substantially to the improvement of translation quality and our systems achieved the best results among all submissions across all of the eval-uation types and evaluation metrics.