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03/20/2023
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning
Neural machine translation (NMT) has achieved remarkable success in prod...
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09/19/2022
Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation
K-Nearest Neighbor Neural Machine Translation (kNN-MT) successfully inco...
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10/09/2020
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation
As a sequence-to-sequence generation task, neural machine translation (N...
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07/31/2020
On Learning Universal Representations Across Languages
Recent studies have demonstrated the overwhelming advantage of cross-lin...
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04/29/2020
Multiscale Collaborative Deep Models for Neural Machine Translation
Recent evidence reveals that Neural Machine Translation (NMT) models wit...
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04/05/2020
AR: Auto-Repair the Synthetic Data for Neural Machine Translation
Compared with only using limited authentic parallel data as training cor...
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02/24/2020
GRET: Global Representation Enhanced Transformer
Transformer, based on the encoder-decoder framework, has achieved state-...
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12/04/2019
Acquiring Knowledge from Pre-trained Model to Neural Machine Translation
Pre-training and fine-tuning have achieved great success in the natural ...
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08/21/2019
Improving Neural Machine Translation with Pre-trained Representation
Monolingual data has been demonstrated to be helpful in improving the tr...
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07/17/2019
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
Relation detection is a core step in many natural language process appli...
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07/08/2019
Correct-and-Memorize: Learning to Translate from Interactive Revisions
State-of-the-art machine translation models are still not on par with hu...
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10/24/2018
Learning to Discriminate Noises for Incorporating External Information in Neural Machine Translation
Previous studies show that incorporating external information could impr...
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08/05/2017
