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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

Showing 8190 of 1773 papers

TitleStatusHype
Data Diversification: A Simple Strategy For Neural Machine TranslationCode1
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine TranslationCode1
Document-level grammatical error correctionCode1
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine TranslationCode1
Effective Adversarial Regularization for Neural Machine TranslationCode1
Adaptive Nearest Neighbor Machine TranslationCode1
Evaluating Multiway Multilingual NMT in the Turkic LanguagesCode1
FFR v1.1: Fon-French Neural Machine TranslationCode1
Improving Massively Multilingual Neural Machine Translation and Zero-Shot TranslationCode1
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