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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 1091–1100 of 1773 papers

TitleStatusHype
Testing Untestable Neural Machine Translation: An Industrial Case—0
Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks—0
APE at Scale and its Implications on MT Evaluation Biases—0
Textual Augmentation Techniques Applied to Low Resource Machine Translation: Case of Swahili—0
The ADAPT’s Submissions to the WMT20 Biomedical Translation Task—0
The ADAPT System Description for the WMT20 News Translation Task—0
The Benefit of Pseudo-Reference Translations in Quality Estimation of MT Output—0
The Comparison of Translationese in Machine Translation and Human Transation in terms of Translation Relations—0
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16—0
The Helsinki submission to the AmericasNLP shared task—0
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