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Word Sense Disambiguation vs. Statistical Machine Translation.

, and . ACL, page 387-394. The Association for Computer Linguistics, (2005)

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An Empirical Assessment of Machine Learning Approaches for Triaging Reports of a Java Static Analysis Tool., , , , and . ICST, page 288-299. IEEE, (2019)Inversion transduction Grammar Coverage of Arabic-English Word Alignment for Tree-Structured Statistical Machine Translation., , and . SLT, page 234-237. IEEE, (2006)Curriculum Learning for Domain Adaptation in Neural Machine Translation., , , , , and . NAACL-HLT (1), page 1903-1915. Association for Computational Linguistics, (2019)Retrofitting Sense-Specific Word Vectors Using Parallel Text., , and . HLT-NAACL, page 1378-1383. The Association for Computational Linguistics, (2016)An Empirical Exploration of Curriculum Learning for Neural Machine Translation., , , , , , , , and . CoRR, (2018)Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection., , , , and . CoRR, (2023)Semantic role labeling with Boosting, SVMs, Maximum Entropy, SNOW, and Decision Lists., , , , and . SENSEVAL@ACL, Association for Computational Linguistics, (2004)CNRC-TMT: Second Language Writing Assistant System Description., , and . SemEval@COLING, page 192-197. The Association for Computer Linguistics, (2014)Surprise Languages: Rapid-Response Cross-Language IR., , , , , , , , , and 10 other author(s). EVIA@NTCIR, (2019)The University of Maryland, College Park Submission to Large-Scale Multilingual Shared Task at WMT 2021., , , and . WMT@EMNLP, page 383-386. Association for Computational Linguistics, (2021)