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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 341–350 of 1773 papers

TitleStatusHype
Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine TranslationCode0
A Study of Reinforcement Learning for Neural Machine TranslationCode0
Enhancing Neural Machine Translation with Semantic UnitsCode0
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset RepositoryCode0
A Comparative Study of LLMs, NMT Models, and Their Combination in Persian-English Idiom TranslationCode0
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case StudyCode0
Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality EstimationCode0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
End-to-End Training for Back-Translation with Categorical Reparameterization TrickCode0
English-Japanese Neural Machine Translation with Encoder-Decoder-ReconstructorCode0
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