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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 881–890 of 1773 papers

TitleStatusHype
Unfolding and Shrinking Neural Machine Translation Ensembles—0
Unified Model Learning for Various Neural Machine Translation—0
Unified NMT models for the Indian subcontinent transcending script-barriers—0
Unified NMT models for the Indian subcontinent, transcending script-barriers—0
Universal Conditional Masked Language Pre-training for Neural Machine Translation—0
Universal Vector Neural Machine Translation With Effective Attention—0
University of Rochester WMT 2017 NMT System Submission—0
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation—0
Unraveling Key Factors of Knowledge Distillation—0
Unsupervised Extraction of Partial Translations for Neural Machine Translation—0
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