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Controlled Ascent: Imbuing Statistical MT with Linguistic Knowledge.

, and . HyTra@ACL, page 51-66. The Association for Computer Linguistics, (2013)

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Evaluating the Ability of Multi-Sensor Techniques to Capture Topographic Complexity., , , , , , , , and . Sensors, 21 (6): 2105 (2021)Adapting machine translation models toward misrecognized speech with text-to-speech pronunciation rules and acoustic confusability., , , and . INTERSPEECH, page 2247-2251. ISCA, (2015)Dramatically Reducing Training Data Size Through Vocabulary Saturation., and . WMT@ACL, page 281-291. The Association for Computer Linguistics, (2013)Haitian Creole: How to Build and Ship an MT Engine from Scratch in 4 days, 17 hours, & 30 minutes.. EAMT, European Association for Machine Translation, (2010)The Semantics of Markup: Mapping Legacy Markup Schemas to a Common Semantics., , , , , and . NLPXML@ACL, (2004)TICO-19: the Translation Initiative for COvid-19., , , , , , , , , and 8 other author(s). NLP4COVID@EMNLP, Association for Computational Linguistics, (2020)Why You Shouldn't Use PLS: Four Reasons to Be Uneasy about Using PLS in Analyzing Path Models., , and . HICSS, page 4739-4748. IEEE Computer Society, (2013)PLS Pluses and Minuses_x000D_ In Path Estimation Accuracy., , and . AMCIS, Association for Information Systems, (2015)Understanding the Roles of IS Leadership., and . AMCIS, page 157. Association for Information Systems, (2003)PLS, Small Sample Size, and Statistical Power in MIS Research., , and . HICSS, IEEE Computer Society, (2006)