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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 1071–1080 of 1773 papers

TitleStatusHype
Iterative Dual Domain Adaptation for Neural Machine Translation—0
Acquiring Knowledge from Pre-trained Model to Neural Machine Translation—0
Neural Machine Translation: A Review and SurveyCode0
Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation—0
Merging External Bilingual Pairs into Neural Machine Translation—0
Language Modelling with NMT Query Translation for Amharic-Arabic Cross-Language Information Retrieval—0
Iterative Batch Back-Translation for Neural Machine Translation: A Conceptual Model—0
Neural Machine Translation with Explicit Phrase Alignment—0
Learning to Reuse Translations: Guiding Neural Machine Translation with Examples—0
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation NetworksCode1
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