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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 14811490 of 1773 papers

TitleStatusHype
Token Drop mechanism for Neural Machine TranslationCode0
Exploring Recombination for Efficient Decoding of Neural Machine TranslationCode0
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot TranslationCode0
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine TranslationCode0
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translationCode0
Rule-based Morphological Inflection Improves Neural Terminology TranslationCode0
Modeling Past and Future for Neural Machine TranslationCode0
Greedy Search with Probabilistic N-gram Matching for Neural Machine TranslationCode0
Guided Alignment Training for Topic-Aware Neural Machine TranslationCode0
Saliency-driven Word Alignment Interpretation for Neural Machine TranslationCode0
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