首页|Researcher at Yangtze Normal University Details Research in Machine Translation (Research on the Optimization Model of Semantic Coherence and Fluency in Languag e Translation)
Researcher at Yangtze Normal University Details Research in Machine Translation (Research on the Optimization Model of Semantic Coherence and Fluency in Languag e Translation)
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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 originating from Chongqing, People’s Republ ic of China, by NewsRx correspondents, research stated, “Traditional Transformer machine translation cannot effectively deal with translation errors due to the lack of an explicit evaluation mechanism for the correctness of the target langu age text, which not only hinders the improvement of the translation quality of t he target language but also makes the decoding process highly complex. This pape r constructs a model for language translation based on decoding optimization.”
Yangtze Normal UniversityChongqingPe ople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningMachine Translation
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