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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 1221–1230 of 1773 papers

TitleStatusHype
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
Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning—0
Enhanced back-translation for low resource neural machine translation using self-training—0
Using Semantic Role Labeling to Improve Neural Machine Translation—0
Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation—0
Using Spoken Word Posterior Features in Neural Machine Translation—0
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