Abstract
The SRI team joined the subtask of Chinese-English Patent machine translation evaluation, and submitted the translation results using a combined output from two types of grammars supported in SRlnterp, with two different word segmentations. We investigated the effect of adding sparse features, together with several optimization strategies. Also,for the PatentMT domain, we carried out preliminary experiments on adapting language models. Our results showed positive improvements using these approaches.
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