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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 941–950 of 1773 papers

TitleStatusHype
HausaMT v1.0: Towards English--Hausa Neural Machine TranslationCode1
Improving Document-Level Neural Machine Translation with Domain Adaptation—0
Pre-training via Leveraging Assisting Languages for Neural Machine Translation—0
English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs—0
FFR v1.1: Fon-French Neural Machine Translation—0
SimulSpeech: End-to-End Simultaneous Speech to Text Translation—0
Multi-Task Neural Model for Agglutinative Language Translation—0
Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain—0
Improving Neural Machine Translation with Soft Template Prediction—0
Language-aware Interlingua for Multilingual Neural Machine Translation—0
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