Real-time Interpreting and Translating System Based on Analyzing Big Data for Tourists
作者： Seokhoon Kim , Sang-Jin Lee
DOI: 10.17485/IJST/2015/V8I25/81734
关键词:
摘要: In modern life, a travel has been one of the most important lifestyle. Although there are many reasons why travels have meaning, it is mainly caused by evolution ICTs and transportations. Actually, improvements transportations trigger rapid deployment travels. However, aren’t similar to past in various aspects. The different thing that travelers or tourists can freely utilize their destination. It means they easily search some useful information anywhere anytime, provide high elasticity trips. Nevertheless, can’t perfectly solve language problems until now, because current interpreting translating system based on machine language. if use exact location big data, which used native speakers region, will be best solution. Therefore, we propose real-time analyzed data. utilizes an tourists, then support suitable sentence using data when need. Based proposed system, verified outperforms than legacy scheme features, show these results this paper.
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