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Learning from Past Mistakes: Improving Automatic Speech Recognition Output via Noisy-Clean Phrase Context Modeling.

, , , and . CoRR, (2018)

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An Overview of Probabilistic Tree Transducers for Natural Language Processing., and . CICLing, volume 3406 of Lecture Notes in Computer Science, page 1-24. Springer, (2005)Translation with Finite-State Devices., and . AMTA, volume 1529 of Lecture Notes in Computer Science, page 421-437. Springer, (1998)Using a Large Monolingual Corpus to Improve Translation Accuracy., , and . AMTA, volume 2499 of Lecture Notes in Computer Science, page 155-164. Springer, (2002)Translation by the Numbers: Language Weaver., , and . AMTA, volume 2499 of Lecture Notes in Computer Science, page 229-231. Springer, (2002)What We Know About The Voynich Manuscript., and . LaTeCH@ACL, page 78-86. The Association for Computer Linguistics, (2011)Putting a Value on Comparable Data.. BUCC@ACL, page 1. Association for Computational Linguistics, (2011)Leveraging Entity Linking and Related Language Projection to Improve Name Transliteration., , , , and . NEWS@ACM, page 1-10. Association for Computational Linguistics, (2016)Training Tree Transducers., and . HLT-NAACL, page 105-112. The Association for Computational Linguistics, (2004)Building A Large Ontology For Machine Translation.. HLT, Morgan Kaufmann, (1993)Learning Phoneme Mappings for Transliteration without Parallel Data., and . HLT-NAACL, page 37-45. The Association for Computational Linguistics, (2009)