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Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies.

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How PhD students at research universities can prepare for a career at a liberal arts college (abstract only)., , and . SIGCSE, page 752. ACM, (2013)Monolingual Marginal Matching for Translation Model Adaptation., , and . EMNLP, page 1077-1088. ACL, (2013)Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies., , , , , , , , , and 1 other author(s). WMT@ACL, page 133-137. Association for Computational Linguistics, (2010)Harmonic Grammar, Optimality Theory, and Syntax Learnability: An Empirical Exploration of Czech Word Order., and . CoRR, (2017)Supervised Bilingual Lexicon Induction with Multiple Monolingual Signals., and . HLT-NAACL, page 518-523. The Association for Computational Linguistics, (2013)Digitizing 18th-Century French Literature: Comparing transcription methods for a critical edition text., , and . CLfL@NAACL-HLT, page 64-68. The Association for Computer Linguistics, (2012)978-1-937284-20-6.The (Un)faithful Machine Translator., and . LaTeCH@ACL, page 96-101. The Association for Computer Linguistics, (2013)Using Comparable Corpora to Adapt MT Models to New Domains., and . WMT@ACL, page 437-444. The Association for Computer Linguistics, (2014)Feature-Rich Language-Independent Syntax-Based Alignment for Statistical Machine Translation., , and . EMNLP, page 497-507. ACL, (2011)Hallucinating Phrase Translations for Low Resource MT., and . CoNLL, page 160-170. ACL, (2014)