首页|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)
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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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.
ShanghaiPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningMachine TranslationShanghai Jiao Tong University
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