Robotics & Machine Learning Daily News2024,Issue(Aug.6) :64-65.

Research Conducted at China University of Petroleum (East China) Has Updated Our Knowledge about Machine Translation (Weight Saliency Search With Semantic Const raint for Neural Machine Translation Attacks)

Robotics & Machine Learning Daily News2024,Issue(Aug.6) :64-65.

Research Conducted at China University of Petroleum (East China) Has Updated Our Knowledge about Machine Translation (Weight Saliency Search With Semantic Const raint for Neural Machine Translation Attacks)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Translati on are discussed in a new report. Accordingto news reporting out of Qingdao, Pe ople’s Republic of China, by NewsRx editors, research stated, “Textadversarial attack is an effective way to improve the robustness of Neural Machine Translati on (NMT)models. Existing NMT attack tasks are often completed by replacing word s.”

Key words

Qingdao/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Machine Translation/China Universit y of Petroleum (East China)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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