Abstract
This research is an experiment to apply the Cultural-Image-Frame-Network (CIFN) based on a Big-data framework to an overseas employment program. The CIFN has been made with a purpose to enhance the language education efficiency by comparing visual cultural elements which are extracted from the big data based language corpuses and image search engines. With the recent crisis of Coronavirus, many overseas employment programs which the Korean government which has been pushing ahead with a purpose to promote youth employment is in crisis, especially, with the shortage of on-line language education contents. In this paper, we suggest the CIFN as a tool to help overseas employment trainees to broaden and deepen their understanding about the culture of each target country, as well as improve their command of language.
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