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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 1341–1350 of 1773 papers

TitleStatusHype
Calibration of Encoder Decoder Models for Neural Machine Translation—0
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation—0
Massively Multilingual Neural Machine Translation—0
Non-Parametric Adaptation for Neural Machine Translation—0
Augmenting Neural Machine Translation with Knowledge GraphsCode0
OpenKiwi: An Open Source Framework for Quality EstimationCode0
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax—0
Semantic Neural Machine Translation using AMRCode0
Multilingual Neural Machine Translation With Soft Decoupled EncodingCode0
An Effective Approach to Unsupervised Machine TranslationCode0
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