Research On Design And Implementation Of Online Assisted Translation Platform

With the popularization of Internet,cloud storage technology and search engine,online translation platform based on Internet comes into being.However,in the traditional operation mode of translation,translators often encounter difficulties,such as data reuse cycle tight,difficult operation,internal and external software collaborative difficult,translation style inconsistencies and other issues,at the same time,the problems like terminology queries cumbersome,computer crash data loss,typesetting of time-consuming and costly software is existing.Based on this,the online supplementary translation platform came into being,focusing on helping people to improve translation efficiency,and reduce the cost of translation.On the basis of deep market research,in strict accordance with the software engineering methods and principle,this paper will discuss the implementation scheme of online translation system in respect of requirement analysis,system design,system implementation and testing,etc.This paper will focus on the application of TF-IDF algorithm,application of inverted index and office file parsing in the system.Based on the design method,this paper will design a new online assisted translation platform,by which the translators can work at any time and any place as long as there is a device that can connect to the network.As well,translators can choose the way to separate the files as his own will.The platform would load the unified corpus for the translation team,and would realize the collaborative management and automatic data storage in the process translation.Thus,the interpreter and translation companies can have a better translation experience and can get a data security assurance.In this paper,the development of Web system is based on Java Web technology,and it will realize the application of the three tier architecture on Centos platform,combined with MySQL,elasticsearch,Hadoop storage and spark flow computation.