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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 1711–1720 of 1773 papers

TitleStatusHype
Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian PidginCode0
Dynamic Multi-Branch Layers for On-Device Neural Machine TranslationCode0
Sparse and Constrained Attention for Neural Machine TranslationCode0
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine TranslationCode0
Learning to Parse and Translate Improves Neural Machine TranslationCode0
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19Code0
Learning to Remember Translation History with a Continuous CacheCode0
Addressing the Rare Word Problem in Neural Machine TranslationCode0
Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine TranslationCode0
Learning to translate by learning to communicateCode0
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