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Gender bias amplification during Speed-Quality optimization in Neural Machine Translation.

, , , , and . ACL/IJCNLP (2), page 99-109. Association for Computational Linguistics, (2021)

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Knowledge Tracing in Sequential Learning of Inflected Vocabulary., , and . CoNLL, page 238-247. Association for Computational Linguistics, (2017)Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms., , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1486-1494. PMLR, (2021)Creating Interactive Macaronic Interfaces for Language Learning., , , and . ACL (System Demonstrations), page 133-138. Association for Computational Linguistics, (2016)ESPnet: End-to-End Speech Processing Toolkit., , , , , , , , , and 2 other author(s). INTERSPEECH, page 2207-2211. ISCA, (2018)Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data., , , , , , , , and . ACL/IJCNLP (1), page 802-812. Association for Computational Linguistics, (2021)Designing for persistent audio conversations in the enterprise., , , and . DUX, page 11. (2007)Analyzing Learner Understanding of Novel L2 Vocabulary., , , and . CoNLL, page 126-135. ACL, (2016)A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation., , and . MTSummit (1), page 204-213. European Association for Machine Translation, (2019)XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment., , , , and . EMNLP (1), page 10424-10430. Association for Computational Linguistics, (2021)Machine Translation quality across demographic dialectal variation in Social Media., and . AMTA (2), page 162-189. Association for Machine Translation in the Americas, (2020)