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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
How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus—0
A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation—0
Huawei's NMT Systems for the WMT 2019 Biomedical Translation Task—0
Human Evaluation of English--Irish Transformer-Based NMT—0
Human Evaluation of Multi-modal Neural Machine Translation: A Case-Study on E-Commerce Listing Titles—0
Human Evaluation of Neural Machine Translation: The Case of Deep Learning—0
Hunter NMT System for WMT18 Biomedical Translation Task: Transfer Learning in Neural Machine Translation—0
HW-TSC’s Participation at WMT 2020 Automatic Post Editing Shared Task—0
HW-TSC's Submission to the CCMT 2024 Machine Translation Tasks—0
HwTscSU’s Submissions on WAT 2022 Shared Task—0
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