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Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation.

, , , , , , , and . ACL, page 2827-2835. Association for Computational Linguistics, (2020)

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Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation., , , , , , , and . AAAI, page 8854-8861. AAAI Press, (2020)Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents., , and . AAAI, page 4959-4966. AAAI Press, (2019)Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study., and . EMNLP, page 2904-2909. Association for Computational Linguistics, (2018)Domain Adaptation of SRL Systems for Biological Processes., , , , , and . BioNLP@ACL, page 80-87. Association for Computational Linguistics, (2019)MixOut: A Simple Yet Effective Data Augmentation Scheme for Slot-Filling., and . IWSDS, volume 704 of Lecture Notes in Electrical Engineering, page 279-288. Springer, (2020)Leveraging native language speech for accent identification using deep Siamese networks., , and . ASRU, page 621-628. IEEE, (2017)MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task., , , , , and . WMT, page 756-767. Association for Computational Linguistics, (2023)XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization., , , , , and . CoRR, (2020)Reinforced Self-Training (ReST) for Language Modeling., , , , , , , , , and 4 other author(s). CoRR, (2023)Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents., , and . CoRR, (2018)