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Phonetically-oriented word error alignment for speech recognition error analysis in speech translation., and . ASRU, page 296-302. IEEE, (2015)Language modeling and transcription of the TED corpus lectures., , and . ICASSP (1), page 232-235. IEEE, (2003)The repetition rate of text as a predictor of the effectiveness of machine translation adaptation., , and . AMTA, page 166-179. Association for Machine Translation in the Americas, (2014)Shallow-Syntax Phrase-Based Translation: Joint versus Factored String-to-Chunk Models., , , and . AMTA, page 56-64. Association for Machine Translation in the Americas, (2008)TMop: a Tool for Unsupervised Translation Memory Cleaning., , , , and . ACL (System Demonstrations), page 49-54. Association for Computational Linguistics, (2016)Improving Statistical Word Alignments with Morpho-syntactic Transformations., , , , , , , and . FinTAL, volume 4139 of Lecture Notes in Computer Science, page 368-379. Springer, (2006)The CLEF 2003 Cross-Language Spoken Document Retrieval Track., and . CLEF (Working Notes), volume 1169 of CEUR Workshop Proceedings, CEUR-WS.org, (2003)ITC-irst at CLEF 2001: Monolingual and Bilingual Tracks., and . CLEF (Working Notes), volume 1167 of CEUR Workshop Proceedings, CEUR-WS.org, (2001)MT-EQuAl: a Toolkit for Human Assessment of Machine Translation Output., , , and . COLING (Demos), page 120-123. ACL, (2014)Getting Expert Quality from the Crowd for Machine Translation Evaluation., , , and . MTSummit, (2011)