Robotics & Machine Learning Daily News2024,Issue(MAY.8) :88-89.

Reports on Machine Translation Findings from Shanghai Jiao Tong University Provi de New Insights (Leveraging Diverse Modeling Contexts With Collaborating Learnin g for Neural Machine Translation)

Robotics & Machine Learning Daily News2024,Issue(MAY.8) :88-89.

Reports on Machine Translation Findings from Shanghai Jiao Tong University Provi de New Insights (Leveraging Diverse Modeling Contexts With Collaborating Learnin g for Neural Machine Translation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Translation h ave been presented. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Autoregressive (AR) and Non- autoregressive (NAR) models are two types of generative models for Neural Machin e Translation (NMT). AR models predict tokens in a word-by-word manner and can e ffectively capture the distribution of real translations.” Financial support for this research came from National Key Ramp;D Program of Chi na.

Key words

Shanghai/People’s Republic of China/As ia/Emerging Technologies/Machine Learning/Machine Translation/Shanghai Jiao Tong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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