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Machine Translation Evaluation with Textual Entailment Features.

, , , and . WMT@EACL, page 37-41. Association for Computational Linguistics, (2009)

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James Allen, Understanding Natural Language.. Artif. Intell., 38 (3): 367-377 (1989)The detection of emphatic words using acoustic and lexical features., , and . INTERSPEECH, page 3297-3300. ISCA, (2005)Reduction of English function words in switchboard., , , , and . ICSLP, ISCA, (1998)How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation., , , , and . IEEE Symposium on Security and Privacy, page 399-413. IEEE Computer Society, (2010)The effect of language model probability on pronunciation reduction., , , and . ICASSP, page 801-804. IEEE, (2001)Hidden Conditional Random Fields for phone recognition., and . ASRU, page 107-112. IEEE, (2009)A Study of Academic Collaborations in Computational Linguistics using a Latent Mixture of Authors Model., , , and . LaTeCH@ACL, page 124-132. The Association for Computer Linguistics, (2011)Machine Translation Evaluation with Textual Entailment Features., , , and . WMT@EACL, page 37-41. Association for Computational Linguistics, (2009)Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation., , and . HLT-NAACL, page 638-646. The Association for Computational Linguistics, (2009)The Best Lexical Metric for Phrase-Based Statistical MT System Optimization., , and . HLT-NAACL, page 555-563. The Association for Computational Linguistics, (2010)