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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 1521–1530 of 1773 papers

TitleStatusHype
Bi-Directional Neural Machine Translation with Synthetic Parallel Data—0
Inducing Grammars with and for Neural Machine Translation—0
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement LearningCode0
Japanese Predicate Conjugation for Neural Machine Translation—0
Zero-Shot Dual Machine TranslationCode0
Phrase Table as Recommendation Memory for Neural Machine Translation—0
Meta-Learning for Low-Resource Neural Machine Translation—0
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training—0
Sparse and Constrained Attention for Neural Machine TranslationCode0
Combining Advanced Methods in Japanese-Vietnamese Neural Machine TranslationCode0
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