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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 1471–1480 of 1773 papers

TitleStatusHype
Transfer Learning for Low-Resource Neural Machine TranslationCode0
On the Importance of Word Boundaries in Character-level Neural Machine TranslationCode0
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data SelectionCode0
Modeling Coverage for Neural Machine TranslationCode0
Compression of Neural Machine Translation Models via PruningCode0
A Document-Level Neural Machine Translation Model with Dynamic Caching Guided by Theme-Rheme InformationCode0
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip TranslationCode0
TransFool: An Adversarial Attack against Neural Machine Translation ModelsCode0
A Comparative Study of LLMs, NMT Models, and Their Combination in Persian-English Idiom TranslationCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
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