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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 921–930 of 1773 papers

TitleStatusHype
Towards Enhancing Faithfulness for Neural Machine Translation—0
PosEdiOn: Post-Editing Assessment in PythOn—0
Transformer-based Neural Machine Translation System for Hindi – Marathi: WMT20 Shared Task—0
Priming Neural Machine Translation—0
Evaluating the usefulness of neural machine translation for the Polish translators in the European Commission—0
Pretrained Language Models and Backtranslation for English-Basque Biomedical Neural Machine Translation—0
A User Study of the Incremental Learning in NMT—0
Domain Informed Neural Machine Translation: Developing Translation Services for Healthcare Enterprise—0
MTUOC: easy and free integration of NMT systems in professional translation environments—0
Noising Scheme for Data Augmentation in Automatic Post-Editing—0
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