A systematic comparison of various statistical alignment models
Computational Linguistics
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
Incorporating non-local information into information extraction systems by Gibbs sampling
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Non-projective dependency parsing using spanning tree algorithms
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Further meta-evaluation of machine translation
StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
Phrase-based and deep syntactic English-to-Czech statistical machine translation
StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
TectoMT: highly modular MT system with tectogrammatics used as transfer layer
StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
Feature engineering in maximum spanning tree dependency parser
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
Findings of the 2009 workshop on statistical machine translation
StatMT '09 Proceedings of the Fourth Workshop on Statistical Machine Translation
Tackling sparse data issue in machine translation evaluation
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
2010 failures in English-Czech phrase-based MT
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
TectoMT: modular NLP framework
IceTAL'10 Proceedings of the 7th international conference on Advances in natural language processing
Probes in a taxonomy of factored phrase-based models
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
Formemes in English-Czech deep syntactic MT
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
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We describe two systems for English-to-Czech machine translation that took part in the WMT09 translation task. One of the systems is a tuned phrase-based system and the other one is based on a linguistically motivated analysis-transfer-synthesis approach.