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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 971–980 of 1773 papers

TitleStatusHype
Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models—0
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation—0
Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation—0
Reinforcement Learning with Large Action Spaces for Neural Machine Translation—0
Reinforcement Learning with Large Action Spaces for Neural Machine Translation—0
Relevance-guided Neural Machine Translation—0
Repairing Pronouns in Translation with BERT-Based Post-Editing—0
Reproducible and Efficient Benchmarks for Hyperparameter Optimization of Neural Machine Translation Systems—0
Research on the Evaluation of Token Imbalance Degree of NMT Corpus—0
Residual Stacking of RNNs for Neural Machine Translation—0
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