{"title":"Study of the Establishment of a Reliable English-Chinese Machine Translation System Based on Artificial Intelligence","authors":"Xuan Fu, Wei Lu, Ligang Zhu, Shuai Zhou","doi":"10.1007/978-3-319-60744-3_2","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":17101,"journal":{"name":"Journal of Residuals Science & Technology","volume":"73 1","pages":"13-23"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Residuals Science & Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-319-60744-3_2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
期刊介绍：
The international Journal of Residuals Science & Technology (JRST) is a blind-refereed quarterly devoted to conscientious analysis and commentary regarding significant environmental sciences-oriented research and technical management of residuals in the environment. The journal provides a forum for scientific investigations addressing contamination within environmental media of air, water, soil, and biota and also offers studies exploring source, fate, transport, and ecological effects of environmental contamination.
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