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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 471–480 of 1773 papers

TitleStatusHype
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation—0
Clause Attention based on Signal Words Division—0
Unified NMT models for the Indian subcontinent transcending script-barriers—0
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network—0
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation—0
Developing neural machine translation models for Hungarian-English—0
Zero-Shot Translation using Diffusion Models—0
FJWU Participation for the WMT21 Biomedical Translation Task—0
The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach—0
eTranslation’s Submissions to the WMT 2021 News Translation Task—0
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