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A trial to construct the Cultural-Image-Frame-Network based on Big-data framework
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빅데이터 기반 다중언어 문화이미지프레임망 구축 구상

논문 기본 정보

Type
Academic journal
Author
Lee JUNSEO (성결대) Han, Kyoungsoo (성결대) Roh, woonggi (가천대)
Journal
The Japanese Language Association Of Korea The Japanese Language Association Of Korea No.65 KCI Accredited Journals
Published
2020.9
Pages
131 - 142 (12page)
DOI
10.14817/jlak.2020.65.131

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A trial to construct the Cultural-Image-Frame-Network based on Big-data framework
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Abstract· Keywords

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This research is to construct the multi-lungual Cultural Image Network Element(CIFN) based on big-data framework. Our research team has already made a desktop application version Korean-Japanese CEMS at LEE & Han(2016) with a purpose of enhancing language education efficiency. Since then, we could produce several achievements which extract cultural elements from the corpus of each language. But we could find that the CEMS has several limitations i.e. 1. basically, CEMS is a desktop version application with lack of openness, 2. CEMS handles limited languages, Korean and Japanese, 3. The corpuses which CEMS depends on have only the fixed data. In this paper, we try to find out the way out to overcome the limitations which CEMS has by constructing the Cultural-Image-Frame-Network.

Contents

〈Abstract〉
1. 들어가며
2. 웹 기반 다중언어 문화요소추출시스템
3. 빅데이터 기반 다중언어 문화이미지프레임망
4. 나가며
【참고문헌】
〈要旨〉

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