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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 1061–1070 of 1773 papers

TitleStatusHype
Bi-Decoder Augmented Network for Neural Machine Translation—0
Learning to Multi-Task Learn for Better Neural Machine Translation—0
A Comprehensive Survey of Multilingual Neural Machine Translation—0
Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks—0
Morphological Word Segmentation on Agglutinative Languages for Neural Machine Translation—0
Reproducible and Efficient Benchmarks for Hyperparameter Optimization of Neural Machine Translation Systems—0
Explicit Sentence Compression for Neural Machine TranslationCode0
Amharic-Arabic Neural Machine Translation—0
A Study of Multilingual Neural Machine Translation—0
Tag-less Back-Translation—0
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