Omnifluent™ English-to-French and Russian-to-English Systems for the 2013 Workshop on Statistical Machine Translation

摘要

This paper describes Omnifluent™ Translate - a state-of-the-art hybrid MT system capable of high-quality, high-speed translations of text and speech. The system participated in the English-to-French and Russian-to-English WMT evaluation tasks with competitive results. The features which contributed the most to high translation quality were training data sub-sampling methods, document-specific models, as well as rule-based morphological normalization for Russian. The latter improved the baseline Russian-to-English BLEU score from 30.1 to 31.3% on a held-out test set.