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Designing for persistent audio conversations in the enterprise., , , and . DUX, page 11. (2007)Machine Translation quality across demographic dialectal variation in Social Media., and . AMTA (2), page 162-189. Association for Machine Translation in the Americas, (2020)User Modeling in Language Learning with Macaronic Texts., , , and . ACL (1), The Association for Computer Linguistics, (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)Analyzing Learner Understanding of Novel L2 Vocabulary., , , and . CoNLL, page 126-135. ACL, (2016)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)Quality Estimation without Human-labeled Data., , , , , and . EACL, page 619-625. Association for Computational Linguistics, (2021)Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders., , , , , and . EACL, page 1613-1624. Association for Computational Linguistics, (2021)The JHU/KyotoU Speech Translation System for IWSLT 2018., , , , , and . IWSLT, page 153-159. International Conference on Spoken Language Translation, (2018)Pretraining by Backtranslation for End-to-End ASR in Low-Resource Settings., , , , , and . INTERSPEECH, page 4375-4379. ISCA, (2019)