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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 601–610 of 1773 papers

TitleStatusHype
Filtering Back-Translated Data in Unsupervised Neural Machine Translation—0
Comparing MT Approaches for Text Normalization—0
Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation—0
Finding Sami Cognates with a Character-Based NMT Approach—0
Findings of the Fourth Workshop on Neural Generation and Translation—0
Findings of the WMT 2018 Shared Task on Automatic Post-Editing—0
Findings of the WMT 2020 Shared Task on Automatic Post-Editing—0
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation—0
Fine-Grained Attention Mechanism for Neural Machine Translation—0
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning—0
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