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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 741–750 of 1773 papers

TitleStatusHype
Scalable Transformers for Neural Machine Translation—0
Using Confidential Data for Domain Adaptation of Neural Machine TranslationCode0
Cultural and Geographical Influences on Image Translatability of Words across LanguagesCode0
IITP-MT at CALCS2021: English to Hinglish Neural Machine Translation using Unsupervised Synthetic Code-Mixed Parallel Corpus—0
Continual Learning for Neural Machine Translation—0
Multi-Hop Transformer for Document-Level Machine Translation—0
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation—0
The Helsinki submission to the AmericasNLP shared task—0
Restoring the Sister: Reconstructing a Lexicon from Sister Languages using Neural Machine TranslationCode0
Parallel sentences mining with transfer learning in an unsupervised setting—0
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