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Examining Scaling and Transfer of Language Model Architectures for Machine Translation ...
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Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents ...
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Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation ...
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Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021 ...
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On Sparsifying Encoder Outputs in Sequence-to-Sequence Models ...
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Beyond Sentence-Level End-to-End Speech Translation: Context Helps ...
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Exploring Dynamic Selection of Branch Expansion Orders for Code Generation ...
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Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation
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In: Zhang, Biao; Bapna, Ankur; Sennrich, Rico; Firat, Orhan (2021). Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation. In: International Conference on Learning Representations, Virtual, 3 May 2021 - 7 May 2021, ICLR. (2021)
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ParBLEU: Augmenting Metrics with Automatic Paraphrases for the WMT'20 Metrics Shared Task
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In: Proceedings of the 5th Conference on Machine Translation ; 5th Conference on Machine Translation ; https://hal.archives-ouvertes.fr/hal-02981143 ; 5th Conference on Machine Translation, Nov 2020, Online, Unknown Region (2020)
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Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation ...
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Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation ...
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Adaptive Feature Selection for End-to-End Speech Translation ...
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Brain Structural and Functional Alterations Specific to Low Sleep Efficiency in Major Depressive Disorder
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Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention ...
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Revisiting Low-Resource Neural Machine Translation: A Case Study ...
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BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings ...
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