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11/03/2022
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions
This paper considers continual learning of large-scale pretrained neural...
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10/28/2022
Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mappings
The many-to-many multilingual neural machine translation can translate b...
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07/14/2021
Importance-based Neuron Allocation for Multilingual Neural Machine Translation
Multilingual neural machine translation with a single model has drawn mu...
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06/12/2021
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation
Although teacher forcing has become the main training paradigm for neura...
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03/25/2021
Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation
Domain Adaptation is widely used in practical applications of neural mac...
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11/02/2020
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation
Neural machine translation (NMT) models usually suffer from catastrophic...
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10/09/2020
Token-level Adaptive Training for Neural Machine Translation
There exists a token imbalance phenomenon in natural language as differe...
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11/30/2019
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation
Neural machine translation models usually adopt the teacher forcing stra...
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09/02/2019
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation
Context modeling is essential to generate coherent and consistent transl...
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08/31/2019
Improving Multi-Head Attention with Capsule Networks
Multi-head attention advances neural machine translation by working out ...
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04/08/2019