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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 271280 of 1773 papers

TitleStatusHype
Exploring Paracrawl for Document-level Neural Machine TranslationCode0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
Exploring Recombination for Efficient Decoding of Neural Machine TranslationCode0
A Tulu Resource for Machine TranslationCode0
Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021Code0
Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality EstimationCode0
Examining the Tip of the Iceberg: A Data Set for Idiom TranslationCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
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