首页|Jiangxi University of Technology Researchers Have Provided New Study Findings on Machine Translation (Based on Gated Dynamic Encoding Optimization, the LGE-Tran sformer Method for Low- Resource Neural Machine Translation)
Jiangxi University of Technology Researchers Have Provided New Study Findings on Machine Translation (Based on Gated Dynamic Encoding Optimization, the LGE-Tran sformer Method for Low- Resource Neural Machine Translation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on machine translati on have been published. According to newsreporting originating from Nanchang, P eople’s Republic of China, by NewsRx correspondents, researchstated, “In curren t Neural Machine Translation (NMT) research, translating low-resource language p airsremains a significant challenge.”
Jiangxi University of TechnologyNancha ngPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningM achine Translation
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