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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)

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Designing for persistent audio conversations in the enterprise., , , and . DUX, page 11. (2007)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)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)User Modeling in Language Learning with Macaronic Texts., , , and . ACL (1), The Association for Computer Linguistics, (2016)Machine Translation quality across demographic dialectal variation in Social Media., and . AMTA (2), page 162-189. Association for Machine Translation in the Americas, (2020)A Call for Prudent Choice of Subword Merge Operations., , and . CoRR, (2019)Multi-Modal Data Augmentation for End-to-end ASR., , , and . INTERSPEECH, page 2394-2398. ISCA, (2018)Simple Construction of Mixed-Language Texts for Vocabulary Learning., , and . BEA@ACL, page 369-379. Association for Computational Linguistics, (2019)Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary., , and . EMNLP/IJCNLP (1), page 6437-6442. Association for Computational Linguistics, (2019)