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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 1201–1225 of 1773 papers

TitleStatusHype
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models—0
Understanding Pre-Editing for Black-Box Neural Machine Translation—0
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English—0
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
Unsupervised Neural Machine Translation Initialized by Unsupervised Statistical Machine Translation—0
Unsupervised Neural Machine Translation with Future Rewarding—0
Cross-lingual Supervision Improves Unsupervised Neural Machine Translation—0
Unsupervised Pivot Translation for Distant Languages—0
Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation—0
Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation—0
Unsupervised Source Hierarchies for Low-Resource Neural Machine Translation—0
Unsupervised Transfer Learning in Multilingual Neural Machine Translation with Cross-Lingual Word Embeddings—0
Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation—0
Usefulness of Emotional Prosody in Neural Machine Translation—0
Using Context in Neural Machine Translation Training Objectives—0
Using Images to Improve Machine-Translating E-Commerce Product Listings.—0
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