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Neural Machine Translation with Source Dependency Representation.

, , , , , , и . EMNLP, стр. 2846-2852. Association for Computational Linguistics, (2017)

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Chen Chen

Chen Chen

Shih Chen Chen

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Chen-Loung Chen

 

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Validation of QSCAT-1 Geophysical Model Function Using Seawinds Level 2 and Buoy Data., , , , , и . IGARSS (1), стр. 339-342. IEEE, (2008)Automatic diagnosis of cardiac arrhythmia in electrocardiograms via multigranulation computing., , , , и . Appl. Soft Comput., (2019)Data-Driven Fuzzy Target-Side Representation for Intelligent Translation System., , , и . IEEE Trans. Fuzzy Syst., 30 (11): 4568-4577 (2022)A Bilingual Adversarial Autoencoder for Unsupervised Bilingual Lexicon Induction., , , и . IEEE ACM Trans. Audio Speech Lang. Process., 27 (10): 1639-1648 (2019)Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios., , , , , и . CoRR, (2020)Robust Machine Reading Comprehension by Learning Soft labels., , , , и . COLING, стр. 2754-2759. International Committee on Computational Linguistics, (2020)Instance Weighting for Neural Machine Translation Domain Adaptation., , , , и . EMNLP, стр. 1482-1488. Association for Computational Linguistics, (2017)PromptST: Abstract Prompt Learning for End-to-End Speech Translation., , , , , , и . EMNLP, стр. 10140-10154. Association for Computational Linguistics, (2023)Context Consistency between Training and Inference in Simultaneous Machine Translation., , , , и . ACL (1), стр. 13465-13476. Association for Computational Linguistics, (2024)Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios., , , , , и . NAACL-HLT, стр. 3975-3981. Association for Computational Linguistics, (2021)