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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 301–325 of 1773 papers

TitleStatusHype
Integrating Pre-trained Language Model into Neural Machine Translation—0
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific RewardsCode0
Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing—0
Code-Switching with Word Senses for Pretraining in Neural Machine Translation—0
On Synthetic Data for Back TranslationCode0
Ask Language Model to Clean Your Noisy Translation Data—0
Direct Neural Machine Translation with Task-level Mixture of Experts models—0
Enhancing Neural Machine Translation with Semantic UnitsCode0
Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation PerformanceCode0
Towards Example-Based NMT with Multi-Levenshtein TransformersCode0
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model—0
Hindi to English: Transformer-Based Neural Machine Translation—0
Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts—0
OSN-MDAD: Machine Translation Dataset for Arabic Multi-Dialectal Conversations on Online Social Media—0
Towards Effective Disambiguation for Machine Translation with Large Language Models—0
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods—0
RedPenNet for Grammatical Error Correction: Outputs to Tokens, Attentions to SpansCode0
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation—0
Gender-specific Machine Translation with Large Language Models—0
Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian LanguagesCode0
A Classification-Guided Approach for Adversarial Attacks against Neural Machine TranslationCode0
An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text TranslationCode0
Ngambay-French Neural Machine Translation (sba-Fr)Code0
An Effective Method using Phrase Mechanism in Neural Machine TranslationCode0
Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discourse—0
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