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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 631–640 of 1773 papers

TitleStatusHype
Neural Machine Translation for Low-Resource Languages: A Survey—0
Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space—0
Language Models are Good Translators—0
On the Evaluation of Machine Translation for Terminology ConsistencyCode1
Phrase-level Active Learning for Neural Machine Translation—0
Recurrent Stacking of Layers in Neural Networks: An Application to Neural Machine Translation—0
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine TranslationCode1
Alternated Training with Synthetic and Authentic Data for Neural Machine Translation—0
Sequence-Level Training for Non-Autoregressive Neural Machine TranslationCode1
Towards User-Driven Neural Machine TranslationCode0
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