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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 411–420 of 1773 papers

TitleStatusHype
SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models—0
A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT—0
Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation?—0
Categorizing Semantic Representations for Neural Machine Translation—0
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT—0
Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning—0
Improving Robustness of Retrieval Augmented Translation via Shuffling of Suggestions—0
Checks and Strategies for Enabling Code-Switched Machine Translation—0
Automatic Evaluation and Analysis of Idioms in Neural Machine TranslationCode0
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language ModelsCode0
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