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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 291300 of 1773 papers

TitleStatusHype
Exploring Recombination for Efficient Decoding of Neural Machine TranslationCode0
A Benchmark Dataset for Multi-Level Complexity-Controllable Machine TranslationCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
First the worst: Finding better gender translations during beam searchCode0
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot TranslationCode0
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19Code0
Examining the Tip of the Iceberg: A Data Set for Idiom TranslationCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
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