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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 641–650 of 1773 papers

TitleStatusHype
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
AUGVIC: Exploiting BiText Vicinity for Low-Resource NMT—0
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation—0
Translate, then Parse! A strong baseline for Cross-Lingual AMR ParsingCode0
On the Language Coverage Bias for Neural Machine Translation—0
Scalable Transformers for Neural Machine Translation—0
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine TranslationCode1
Restoring the Sister: Reconstructing a Lexicon from Sister Languages using Neural Machine TranslationCode0
The Helsinki submission to the AmericasNLP shared task—0
Using Confidential Data for Domain Adaptation of Neural Machine TranslationCode0
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