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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 1001–1010 of 1773 papers

TitleStatusHype
Findings of the Fourth Workshop on Neural Generation and Translation—0
Improving Neural Machine Translation with Soft Template Prediction—0
Language-aware Interlingua for Multilingual Neural Machine Translation—0
Pre-training via Leveraging Assisting Languages for Neural Machine Translation—0
Uncertainty-Aware Curriculum Learning for Neural Machine Translation—0
The HW-TSC Video Speech Translation System at IWSLT 2020—0
FFR v1.1: Fon-French Neural Machine Translation—0
English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs—0
Start-Before-End and End-to-End: Neural Speech Translation by AppTek and RWTH Aachen University—0
Modeling Baroque Two-Part Counterpoint with Neural Machine TranslationCode0
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