{"title":"A model of translation management systems for multilingual documents","authors":"Monica H. Traicu, G. Proștean","doi":"10.1109/SACI.2012.6249987","DOIUrl":null,"url":null,"abstract":"This paper suggests a model for translation management systems meant to overcome the problems faced by companies at a global level. Large international organizations do not have to overcome only the problem created by large amounts of data but also by multilingual documents used across the organization. Until now the research related to translation management systems was focused on in-text matching content and re-use capabilities but does not provide solutions for automatic translation. This paper proposes a model for multilingual document management, providing an algorithm for automatic translation management based on the DITA architecture of content components and machine translation algorithm.","PeriodicalId":293436,"journal":{"name":"2012 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 7th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2012.6249987","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper suggests a model for translation management systems meant to overcome the problems faced by companies at a global level. Large international organizations do not have to overcome only the problem created by large amounts of data but also by multilingual documents used across the organization. Until now the research related to translation management systems was focused on in-text matching content and re-use capabilities but does not provide solutions for automatic translation. This paper proposes a model for multilingual document management, providing an algorithm for automatic translation management based on the DITA architecture of content components and machine translation algorithm.