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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
HausaMT v1.0: Towards English--Hausa Neural Machine TranslationCode1
Automatic Dialect Adaptation in Finnish and its Effect on Perceived CreativityCode1
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine TranslationCode1
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine TranslationCode1
Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine TranslationCode1
Adaptive Nearest Neighbor Machine TranslationCode1
Bicleaner AI: Bicleaner Goes NeuralCode1
Bi-SimCut: A Simple Strategy for Boosting Neural Machine TranslationCode1
Integrating Vectorized Lexical Constraints for Neural Machine TranslationCode1
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