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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 231–240 of 1773 papers

TitleStatusHype
Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine TranslationCode0
Simple and Scalable Nearest Neighbor Machine TranslationCode1
Federated Nearest Neighbor Machine Translation—0
Generalization algorithm of multimodal pre-training model based on graph-text self-supervised training—0
TransFool: An Adversarial Attack against Neural Machine Translation ModelsCode0
Attention Link: An Efficient Attention-Based Low Resource Machine Translation Architecture—0
A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation—0
Improving Machine Translation with Phrase Pair Injection and Corpus Filtering—0
Prompting Neural Machine Translation with Translation Memories—0
Building a Parallel Corpus and Training Translation Models Between Luganda and English—0
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