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一种多语言机制英语在线翻译辅助系统
引用本文:杨虹.一种多语言机制英语在线翻译辅助系统[J].信息技术,2022(2):25-29,35.
作者姓名:杨虹
作者单位:咸阳师范学院外国语学院
基金项目:咸阳师范学院科研项目2020年度课题(2020X-SYH168)。
摘    要:文中通过对以词组为本的统计式机器翻译系统(Statistical machine translation system,SMT)进行词对应方法的优化和筛选来建立多语言机制的英语在线翻译辅助系统.通过M1模型来计算平行语料库中语言字与字之间可能的配对几率,以EM演算法求取未知资料状况下的参数最大值.通过设置条件值参数作为...

关 键 词:统计式机器翻译  平行语料库  多语言机制  EM演算法  系统训练

A multilingual English online translation assistant system
YANG Hong.A multilingual English online translation assistant system[J].Information Technology,2022(2):25-29,35.
Authors:YANG Hong
Institution:(School of Foreign Languages,Xianyang Normal University,Xianyang 712000,Shaanxi Province,China)
Abstract:In this paper,a multi-lingual online translation assistance system for English is established by optimizing and selecting word correspondence methods in a phrase based Statistical machine translation system(SMT).The M1 model is used to calculate the probability of possible pairing between words in parallel corpus,and the EM algorithm is used to obtain the maximum value of parameters in the case of unknown data.By setting the parameter of condition value as the basis of selecting corresponding sentences,the bilingual news corpus is used for experimental comparison.The best range for the system to operate in parallel corpus is when the condition value parameter is from 0.2 to 0.4.
Keywords:statistical machine translation  parallel corpus  multilingual mechanism  EM algorithm  systematic training
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