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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 1401–1450 of 1773 papers

TitleStatusHype
Neural Machine Translation for English-TamilCode0
RTM results for Predicting Translation Performance—0
Neural Machine Translation of Logographic Language Using Sub-character Level Information—0
The Benefit of Pseudo-Reference Translations in Quality Estimation of MT Output—0
Ensemble of Translators with Automatic Selection of the Best Translation -- the submission of FOKUS to the WMT 18 biomedical translation task --—0
TencentFmRD Neural Machine Translation for WMT18—0
Extracting In-domain Training Corpora for Neural Machine Translation Using Data Selection Methods—0
Findings of the WMT 2018 Shared Task on Automatic Post-Editing—0
Sheffield Submissions for WMT18 Multimodal Translation Shared Task—0
Hunter NMT System for WMT18 Biomedical Translation Task: Transfer Learning in Neural Machine Translation—0
Bidirectional Generative Adversarial Networks for Neural Machine Translation—0
Addressing Troublesome Words in Neural Machine Translation—0
Multi-Domain Neural Machine Translation with Word-Level Domain Context DiscriminationCode0
The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation—0
Encoding Gated Translation Memory into Neural Machine Translation—0
Adaptive Multi-pass Decoder for Neural Machine Translation—0
Phrase-Based \& Neural Unsupervised Machine Translation—0
GraphSeq2Seq: Graph-Sequence-to-Sequence for Neural Machine Translation—0
Hallucinations in Neural Machine Translation—0
AutoLoss: Learning Discrete Schedule for Alternate Optimization—0
Neural Speech Synthesis with Transformer NetworkCode2
NICT's Neural and Statistical Machine Translation Systems for the WMT18 News Translation Task—0
NICT's Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task—0
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation—0
Greedy Search with Probabilistic N-gram Matching for Neural Machine TranslationCode0
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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