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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

Showing 14311440 of 1773 papers

TitleStatusHype
BPE and CharCNNs for Translation of Morphology: A Cross-Lingual Comparison and Analysis0
Document-Level Neural Machine Translation with Hierarchical Attention NetworksCode1
Unsupervised Statistical Machine TranslationCode1
Future-Prediction-Based Model for Neural Machine Translation0
MS-UEdin Submission to the WMT2018 APE Shared Task: Dual-Source Transformer for Automatic Post-Editing0
Simple Fusion: Return of the Language ModelCode0
Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection0
The MeMAD Submission to the WMT18 Multimodal Translation Task0
Pronoun Translation in English-French Machine Translation: An Analysis of Error TypesCode0
Correcting Length Bias in Neural Machine Translation0
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