A systematic comparison of various statistical alignment models
Computational Linguistics
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Statistical machine translation enhancements through linguistic levels: A survey
ACM Computing Surveys (CSUR)
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We present an improved version of DEPFIX (Mareček et al., 2011), a system for automatic rule-based post-processing of English-to-Czech MT outputs designed to increase their fluency. We enhanced the rule set used by the original DEPFIX system and measured the performance of the individual rules. We also modified the dependency parser of McDonald et al. (2005) in two ways to adjust it for the parsing of MT outputs. We show that our system is able to improve the quality of the state-of-the-art MT systems.