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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

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Showing 881–890 of 1773 papers

TitleStatusHype
Fine-Grained Error Analysis on English-to-Japanese Machine Translation in the Medical Domain—0
Factorized Transformer for Multi-Domain Neural Machine Translation—0
Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task—0
Quantitative Analysis of Post-Editing Effort Indicators for NMT—0
A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning—0
Coding Textual Inputs Boosts the Accuracy of Neural NetworksCode0
Effectively pretraining a speech translation decoder with Machine Translation data—0
Combination of Neural Machine Translation Systems at WMT20—0
Fine-Tuning MT systems for Robustness to Second-Language Speaker VariationsCode0
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models—0
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