首页|New Machine Translation Study Findings Have Been Reported by Investigators at Un iversity of Macau (Rethinking the Exploitation of Monolingual Data for Low-resou rce Neural Machine Translation)
New Machine Translation Study Findings Have Been Reported by Investigators at Un iversity of Macau (Rethinking the Exploitation of Monolingual Data for Low-resou rce Neural Machine Translation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Trans lation have been published. According to news reporting from Macau, People’s Rep ublic of China, by NewsRx journalists, research stated, “The utilization of mono lingual data has been shown to be a promising strategy for addressing low-resour ce machine translation problems. Previous studies have demonstrated the effectiv eness of techniques such as back-translation and self-supervised objectives, inc luding masked language modeling, causal language modeling, and denoise autoencod ing, in improving the performance of machine translation models.”
MacauPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningMachine TranslationUniversity of Mac au
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