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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 861–870 of 1773 papers

TitleStatusHype
Idiap NMT System for WAT 2019 Multimodal Translation Task—0
Lattice-Based Transformer Encoder for Neural Machine Translation—0
Controlling the Output Length of Neural Machine Translation—0
A User Study of the Incremental Learning in NMT—0
Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation—0
Learning Distributional Token Representations from Visual Features—0
An Analysis of Source-Side Grammatical Errors in NMT—0
Learning Efficient Lexically-Constrained Neural Machine Translation with External Memory—0
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora—0
A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation—0
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