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Improving Neural Language Models with Weight Norm Initialization and Regularization.

, , and . WMT, page 93-100. Association for Computational Linguistics, (2018)

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Alternating Weak Triphone/BPE Alignment Supervision from Hybrid Model Improves End-to-End ASR., , , and . CoRR, (2024)Diving Deep into Context-Aware Neural Machine Translation., , , , , and . WMT@EMNLP, page 604-616. Association for Computational Linguistics, (2020)Weak Alignment Supervision from Hybrid Model Improves End-to-end ASR., , and . CoRR, (2023)Towards a Better Understanding of Label Smoothing in Neural Machine Translation., , , , and . AACL/IJCNLP, page 212-223. Association for Computational Linguistics, (2020)uniblock: Scoring and Filtering Corpus with Unicode Block Information., , and . EMNLP/IJCNLP (1), page 1324-1329. Association for Computational Linguistics, (2019)Transformer-Based Direct Hidden Markov Model for Machine Translation., , , and . ACL (student), page 23-32. Association for Computational Linguistics, (2021)Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies., , and . ACL (1), page 1246-1257. Association for Computational Linguistics, (2019)Improving Language Model Integration for Neural Machine Translation., , , and . ACL (Findings), page 7114-7123. Association for Computational Linguistics, (2023)Revisiting Checkpoint Averaging for Neural Machine Translation., , , and . AACL/IJCNLP (Findings), page 188-196. Association for Computational Linguistics, (2022)The RWTH Aachen University Machine Translation Systems for WMT 2019., , , , , , , and . WMT (2), page 349-355. Association for Computational Linguistics, (2019)