首页|Researchers from Kunming University Report Findings in Machine Translation (Low Resource Neural Machine Translation Model Optimization Based On Semantic Confide nce Weighted Alignment)
Researchers from Kunming University Report Findings in Machine Translation (Low Resource Neural Machine Translation Model Optimization Based On Semantic Confide nce Weighted Alignment)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Translation. According to news reporting originating from Yunnan, People’s Republic of China, by NewsRx correspondents, research stated, “The performance of neural machine translation models based on the Transformer architecture is co ntingent upon the quality of the data. When the training data contains a high pr oportion of noise, the performance of the model deteriorates.”
YunnanPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningMachine TranslationKunming Universi ty
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