首页|Findings from National Institute of Technology Update Understanding of Machine T ranslation (Enhanced Unsupervised Neural Machine Translation By Cross Lingual Se nse Embedding and Filtered Back-translation for Morphological and Endangered Ind ic ...)
Findings from National Institute of Technology Update Understanding of Machine T ranslation (Enhanced Unsupervised Neural Machine Translation By Cross Lingual Se nse Embedding and Filtered Back-translation for Morphological and Endangered Ind ic ...)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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 originating in Himachal Prades, India, by NewsRx journalists, research stated, “The fast growth of commu nication technology has brought nations and their cultures closer together, and the demand for cross-language communication has risen tremendously. There is a d ifferent learning method to connect the source language to the target language i n which unsupervised learning is a blessing for low-resource languages.”
Himachal PradesIndiaAsiaEmerging T echnologiesMachine LearningMachine TranslationNational Institute of Technology
NETL
NSTL
