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Transition-Based Dependency Parsing with Stack Long Short-Term Memory., , , , and . ACL (1), page 334-343. The Association for Computer Linguistics, (2015)Comparing Top-Down and Bottom-Up Neural Generative Dependency Models., , and . CoNLL, page 227-237. Association for Computational Linguistics, (2019)Enabling Arbitrary Translation Objectives with Adaptive Tree Search., , , , , , and . ICLR, OpenReview.net, (2022)DyNet: The Dynamic Neural Network Toolkit, , , , , , , , , and 15 other author(s). (Jan 15, 2017)The ARIEL-CMU Systems for LoReHLT18., , , , , , , , , and 20 other author(s). CoRR, (2019)Synthesizing Compound Words for Machine Translation., , , and . ACL (1), The Association for Computer Linguistics, (2016)The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References., , , , , , , , , and . WMT@ACL, page 70-77. The Association for Computer Linguistics, (2013)The CMU Machine Translation Systems at WMT 2014., , , , , , , , , and . WMT@ACL, page 142-149. The Association for Computer Linguistics, (2014)Using Morphological Knowledge in Open-Vocabulary Neural Language Models., , and . NAACL-HLT, page 1435-1445. Association for Computational Linguistics, (2018)XNMT: The eXtensible Neural Machine Translation Toolkit., , , , , , , , , and 3 other author(s). AMTA (1), page 185-192. Association for Machine Translation in the Americas, (2018)