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Fast Consensus Hypothesis Regeneration for Machine Translation.

, , and . WMT@ACL, page 11-16. Association for Computational Linguistics, (2010)

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The Application of Semantic Classification Trees to Natural Language Understanding., and . IEEE Trans. Pattern Anal. Mach. Intell., 17 (5): 449-460 (1995)Speech recongnition and the frequency of recently used words: a modified Markov model for natural language.. COLING, page 348-350. John von Neumann Society for Computing Sciences, Budapest, (1988)Adaptation of Reordering Models for Statistical Machine Translation., , and . HLT-NAACL, page 938-946. The Association for Computational Linguistics, (2013)Fast speaker adaptation using a priori knowledge., , , , , , , and . ICASSP, page 749-752. IEEE Computer Society, (1999)AMBER: A Modified BLEU, Enhanced Ranking Metric., and . WMT@EMNLP, page 71-77. Association for Computational Linguistics, (2011)PORTAGE: with Smoothed Phrase Tables and Segment Choice Models., , , , , , and . WMT@HLT-NAACL, page 134-137. Association for Computational Linguistics, (2006)Vector Space Model for Adaptation in Statistical Machine Translation., , and . ACL (1), page 1285-1293. The Association for Computer Linguistics, (2013)French speech recognition in an automatic dictation system for translators: the transtalk project., , , , , , and . EUROSPEECH, ISCA, (1995)Automatic methods for lexical stress assignment and syllabification., , , and . INTERSPEECH, page 423-426. ISCA, (2000)Eigenvoices for speaker adaptation., , , , , , , and . ICSLP, ISCA, (1998)