首页|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)
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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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.”
QingdaoPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningMachine TranslationChina Universit y of Petroleum (East China)
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