발간년도 : [2017]
| 논문정보 |
|
| 논문명(한글) |
[Vol.12, No.2] An Interpretation and Translation System Using Location Based Big Data Analysis |
|
| 논문투고자 |
Sangjin Lee, Seokhoon Kim |
|
| 논문내용 |
Nowadays, an accuracy of interpretation and translation system, which are based on a natural language, are quotidianly increasing, because a big data processing method has been dramatically progressed. However, there are still some lacks for an user who is needed a colloquial style interpretation and translation. To this end, we propose an interpretation and translation system for the user, which are using a location information based on big data analysis. When the proposed system collect data, the system is preferentially gathering the data which are generated in the near regions, and which are related with the regions. At this time, the criteria of data gathering process are each data location information. And then, the system will configure various data set by their data type. The configured data set, which it will be used pre-learning parameters in a deep neural network. Based on these parameters for the pre-learning process, the proposed system carry out a deep learning process. By doing this, the system provide a improved interpretation and translation result for colloquial style. To verify an excellence of the system, we compare with an existing system. In the performance evaluation, the proposed system show enhanced results about 10% than the existing system. |
|
| 첨부논문 |
|
|
|
|
|
자료실 > 논문지 
