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07/14/2020
Modeling Voting for System Combination in Machine Translation
System combination is an important technique for combining the hypothese...
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05/22/2020
Graph Random Neural Network
Graph neural networks (GNNs) have generalized deep learning methods into...
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11/26/2019
Neural Machine Translation with Explicit Phrase Alignment
While neural machine translation (NMT) has achieved state-of-the-art tra...
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11/09/2019
Learning to Copy for Automatic Post-Editing
Automatic post-editing (APE), which aims to correct errors in the output...
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08/31/2019
Improving Back-Translation with Uncertainty-based Confidence Estimation
While back-translation is simple and effective in exploiting abundant mo...
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11/02/2018
Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
Although neural machine translation has made significant progress recent...
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10/08/2018
Improving the Transformer Translation Model with Document-Level Context
Although the Transformer translation model (Vaswani et al., 2017) has ac...
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06/20/2017
THUMT: An Open Source Toolkit for Neural Machine Translation
This paper introduces THUMT, an open-source toolkit for neural machine t...
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09/22/2016
Image-embodied Knowledge Representation Learning
Entity images could provide significant visual information for knowledge...
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06/15/2016
