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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 1181–1190 of 1773 papers

TitleStatusHype
Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs—0
Selecting Artificially-Generated Sentences for Fine-Tuning Neural Machine Translation—0
Self-Induced Curriculum Learning in Neural Machine Translation—0
Context Based Machine Translation With Recurrent Neural Network For English-Amharic Translation—0
Efficiently Reusing Old Models Across Languages via Transfer Learning—0
Self-attention based end-to-end Hindi-English Neural Machine Translation—0
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages—0
Simple, Scalable Adaptation for Neural Machine Translation—0
Pointer-based Fusion of Bilingual Lexicons into Neural Machine TranslationCode0
Multilingual Neural Machine Translation for Zero-Resource LanguagesCode0
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