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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 151160 of 1773 papers

TitleStatusHype
ChrEn: Cherokee-English Machine Translation for Endangered Language RevitalizationCode1
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective FeedbackCode1
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine TranslationCode1
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine TranslationCode1
Low Resource Neural Machine Translation: A Benchmark for Five African LanguagesCode1
Modelling Latent Translations for Cross-Lingual TransferCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language InferenceCode1
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP ModelsCode1
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