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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 1426–1450 of 1773 papers

TitleStatusHype
Towards one-shot learning for rare-word translation with external experts—0
Multilingual Extractive Reading Comprehension by Runtime Machine TranslationCode0
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
Document-Level Neural Machine Translation with Hierarchical Attention NetworksCode1
Unsupervised Statistical Machine TranslationCode1
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
Correcting Length Bias in Neural Machine Translation—0
Revisiting Character-Based Neural Machine Translation with Capacity and Compression—0
An Operation Sequence Model for Explainable Neural Machine TranslationCode0
A Tree-based Decoder for Neural Machine TranslationCode0
A Study of Reinforcement Learning for Neural Machine TranslationCode0
Contextual Parameter Generation for Universal Neural Machine TranslationCode0
Exploring Recombination for Efficient Decoding of Neural Machine TranslationCode0
Paraphrases as Foreign Languages in Multilingual Neural Machine Translation—0
Meta-Learning for Low-Resource Neural Machine Translation—0
Style Transfer as Unsupervised Machine Translation—0
Training Deeper Neural Machine Translation Models with Transparent AttentionCode0
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