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Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation ...
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TexSmart: A System for Enhanced Natural Language Understanding ...
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Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction ...
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Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation ...
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On the Copying Behaviors of Pre-Training for Neural Machine Translation ...
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deepQuest-py: large and distilled models for quality estimation
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deepQuest-py: large and distilled models for quality estimation
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In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations ; 382 ; 389 (2021)
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Abstract:
© (2021) The Authors. Published by Association for Computational Linguistics. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://aclanthology.org/2021.emnlp-demo.42/ ; We introduce deepQuest-py, a framework for training and evaluation of large and lightweight models for Quality Estimation (QE). deepQuest-py provides access to (1) state-ofthe-art models based on pre-trained Transformers for sentence-level and word-level QE; (2) light-weight and efficient sentence-level models implemented via knowledge distillation; and (3) a web interface for testing models and visualising their predictions. deepQuestpy is available at https://github.com/ sheffieldnlp/deepQuest-py under a CC BY-NC-SA licence.
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Keyword:
machine translation; quality estimation
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URL: http://hdl.handle.net/2436/624377 https://doi.org/10.18653/v1/2021.emnlp-demo.42
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On the Inference Calibration of Neural Machine Translation ...
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Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models ...
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Neuron Interaction Based Representation Composition for Neural Machine Translation ...
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Multi-Granularity Self-Attention for Neural Machine Translation ...
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Towards Understanding Neural Machine Translation with Word Importance ...
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Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons ...
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Translating pro-drop languages with reconstruction models
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In: Wang, Longyue orcid:0000-0002-9062-6183 , Tu, Zhaopeng, Shi, Shuming, Zhang, Tong, Graham, Yvette and Liu, Qun orcid:0000-0002-7000-1792 (2018) Translating pro-drop languages with reconstruction models. In: Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2–7 Feb 2018, New Orleans, LA, USA. ISBN 978-1-57735-800-8 (2018)
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Translating pro-drop languages with reconstruction models
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In: Wang, Longyue orcid:0000-0002-9062-6183 , Tu, Zhaopeng, Shi, Shuming, Zhang, Tong, Graham, Yvette and Liu, Qun orcid:0000-0002-7000-1792 (2018) Translating pro-drop languages with reconstruction models. In: 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), 2 - 7 Feb 2018, New Orleans, LA, USA. ISBN 978-1-57735-800-8 (2018)
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Translating Pro-Drop Languages with Reconstruction Models ...
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Exploiting Deep Representations for Neural Machine Translation ...
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