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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 1251–1260 of 1773 papers

TitleStatusHype
Depth Growing for Neural Machine TranslationCode0
Improving Robustness in Real-World Neural Machine Translation Engines—0
Sentence-Level Agreement for Neural Machine Translation—0
English-Indonesian Neural Machine Translation for Spoken Language Domains—0
Better OOV Translation with Bilingual Terminology Mining—0
Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation—0
Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation—0
Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach—0
Look Harder: A Neural Machine Translation Model with Hard Attention—0
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity—0
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