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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 1441–1450 of 1773 papers

TitleStatusHype
Neural Machine Translation of Logographic Languages Using Sub-character Level Information—0
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing—0
Character-Aware Decoder for Translation into Morphologically Rich Languages—0
BPE and CharCNNs for Translation of Morphology: A Cross-Lingual Comparison and Analysis—0
Future-Prediction-Based Model for Neural Machine Translation—0
MS-UEdin Submission to the WMT2018 APE Shared Task: Dual-Source Transformer for Automatic Post-Editing—0
Simple Fusion: Return of the Language ModelCode0
Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection—0
The MeMAD Submission to the WMT18 Multimodal Translation Task—0
Pronoun Translation in English-French Machine Translation: An Analysis of Error TypesCode0
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