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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 161170 of 1773 papers

TitleStatusHype
MT-LENS: An all-in-one Toolkit for Better Machine Translation EvaluationCode1
N-Bref : A High-fidelity Decompiler Exploiting Programming StructuresCode1
Continuous Language Generative FlowCode1
Neural Machine Translation: Challenges, Progress and FutureCode1
Neural Machine Translation System of Indic Languages -- An Attention based ApproachCode1
AFRIDOC-MT: Document-level MT Corpus for African LanguagesCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
A Classification-Guided Approach for Adversarial Attacks against Neural Machine TranslationCode0
Faithful Target Attribute Prediction in Neural Machine TranslationCode0
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