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Revisiting Character-Based Neural Machine Translation with Capacity and Compression.

, , , , and . EMNLP, page 4295-4305. Association for Computational Linguistics, (2018)

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A comparative study on maximum entropy and discriminative training for acoustic modeling in automatic speech recognition., and . INTERSPEECH, ISCA, (2003)Investigations on error minimizing training criteria for discriminative training in automatic speech recognition., , , and . INTERSPEECH, page 2133-2136. ISCA, (2005)Direct speech-to-speech translation with a sequence-to-sequence model., , , , , , and . CoRR, (2019)Monotonic Infinite Lookback Attention for Simultaneous Machine Translation., , , , , , , and . ACL (1), page 1313-1323. Association for Computational Linguistics, (2019)Improving automatic speech recognition using tangent distance., , , and . INTERSPEECH, page 1825-1828. ISCA, (2001)The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation., , , , , , , , , and 2 other author(s). CoRR, (2018)Probabilistic Aspects in Spoken Document Retrieval., , and . EURASIP J. Adv. Sig. Proc., 2003 (2): 115-127 (2003)The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation., , , , , , , , , and 6 other author(s). ACL (1), page 76-86. Association for Computational Linguistics, (2018)Robust Neural Machine Translation with Doubly Adversarial Inputs., , and . ACL (1), page 4324-4333. Association for Computational Linguistics, (2019)Discriminative training with tied covariance matrices., , and . INTERSPEECH, ISCA, (2004)