Machine translation system combination using ITG-based alignments
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This paper describes the CMU entry for the system combination shared task at WMT'09. Our combination method is hypothesis selection, which uses information from n-best lists from several MT systems. The sentence level features are independent from the MT systems involved. To compensate for various n-best list sizes in the workshop shared task including first-best-only entries, we normalize one of our high-impact features for varying sub-list size. We combined restricted data track entries in French - English, German - English and Hungarian - English using provided data only.