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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 16761700 of 1773 papers

TitleStatusHype
Sparse Communication for Distributed Gradient DescentCode1
Towards String-to-Tree Neural Machine Translation0
Translation of Patent Sentences with a Large Vocabulary of Technical Terms Using Neural Machine Translation0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
Neural Machine Translation Model with a Large Vocabulary Selected by Branching Entropy0
Unfolding and Shrinking Neural Machine Translation Ensembles0
Building a Neural Machine Translation System Using Only Synthetic Parallel Data0
Practical Neural Machine Translation0
Human Evaluation of Multi-modal Neural Machine Translation: A Case-Study on E-Commerce Listing Titles0
Using Images to Improve Machine-Translating E-Commerce Product Listings.0
Neural Automatic Post-Editing Using Prior Alignment and Reranking0
Neural vs. Phrase-Based Machine Translation in a Multi-Domain Scenario0
Improving Neural Machine Translation with Conditional Sequence Generative Adversarial NetsCode0
Massive Exploration of Neural Machine Translation ArchitecturesCode0
Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages0
Learning to Parse and Translate Improves Neural Machine TranslationCode0
Neural Machine Translation with Source-Side Latent Graph Parsing0
Beam Search Strategies for Neural Machine Translation0
Ensemble Distillation for Neural Machine Translation0
Multilingual Multi-modal Embeddings for Natural Language Processing0
Predicting Target Language CCG Supertags Improves Neural Machine Translation0
Incorporating Global Visual Features into Attention-Based Neural Machine Translation0
QCRI Machine Translation Systems for IWSLT 160
An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation0
Towards Decoding as Continuous Optimization in Neural Machine Translation0
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