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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 16811690 of 1773 papers

TitleStatusHype
Deconvolution-Based Global Decoding for Neural Machine TranslationCode0
Efficient Cluster-Based k-Nearest-Neighbor Machine TranslationCode0
Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial ApproachCode0
Reciprocal Supervised Learning Improves Neural Machine TranslationCode0
A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine TranslationCode0
Recurrent Attention for Neural Machine TranslationCode0
Debugging Neural Machine TranslationsCode0
A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine TranslationCode0
Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference ResolutionCode0
Neural Sign Language TranslationCode0
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