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Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package.

, , , and . EMNLP (Demonstration), page 120-126. Association for Computational Linguistics, (2018)

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Edinburgh system description for the 2005 IWSLT speech translation evaluation., , , , , and . IWSLT, page 68-75. ISCA, (2005)Stream-based Translation Models for Statistical Machine Translation., , and . HLT-NAACL, page 394-402. The Association for Computational Linguistics, (2010)The Gun Violence Database., and . CoRR, (2016)Decoding in JoshuaOpen Source, Parsing-Based Machine Translation., , , and . Prague Bull. Math. Linguistics, (2009)A Comprehensive Analysis of Bilingual Lexicon Induction., and . Computational Linguistics, 43 (2): 273-310 (2017)Effectively Crowdsourcing Radiology Report Annotations., , , , and . Louhi@EMNLP, page 109-114. Association for Computational Linguistics, (2015)Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotation., , , and . Journal of Biomedical Informatics, (2017)Supervised Bilingual Lexicon Induction with Multiple Monolingual Signals., and . HLT-NAACL, page 518-523. The Association for Computational Linguistics, (2013)Cost Optimization in Crowdsourcing Translation: Low cost translations made even cheaper., , and . HLT-NAACL, page 705-713. The Association for Computational Linguistics, (2015)Using Mechanical Turk to Build Machine Translation Evaluation Sets., and . Mturk@HLT-NAACL, page 208-211. Association for Computational Linguistics, (2010)