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10/08/2021
Taming Sparsely Activated Transformer with Stochastic Experts
Sparsely activated models (SAMs), such as Mixture-of-Experts (MoE), can ...
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09/10/2021
Improving Multilingual Translation by Representation and Gradient Regularization
Multilingual Neural Machine Translation (NMT) enables one model to serve...
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04/06/2020
Meta-Learning for Few-Shot NMT Adaptation
We present META-MT, a meta-learning approach to adapt Neural Machine Tra...
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10/08/2018
Zero-Resource Multilingual Model Transfer: Learning What to Share
Modern natural language processing and understanding applications have e...
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03/15/2018
Achieving Human Parity on Automatic Chinese to English News Translation
Machine translation has made rapid advances in recent years. Millions of...
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02/26/2018
Gender Aware Spoken Language Translation Applied to English-Arabic
Spoken Language Translation (SLT) is becoming more widely used and becom...
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02/15/2018
Universal Neural Machine Translation for Extremely Low Resource Languages
In this paper, we propose a new universal machine translation approach f...
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07/01/2017
