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A Study on the Classification of Cultural Items in Novel Text –Focused on the Application of HRAF Classification Code

  • Korean Language & Literature
  • 2021, (116), pp.261-292
  • DOI : 10.21793/koreall.2021.116.261
  • Publisher : Korean Language & Literature
  • Research Area : Humanities > Korean Language and Literature
  • Received : February 3, 2021
  • Accepted : March 11, 2021
  • Published : March 31, 2021

Hwang hye ran 1

1명지대학교

Accredited

ABSTRACT

This study would seek a new methodology to draw out cultural items from novel texts. For this purpose, this study concretely investigated measures for assigning cultural classification codes to vocabulary in novel texts. The text to be analyzed was Jung-Hee Oh’s “Chinatown,” included in Analysis “Corpus for Novel Vocabulary”, published by the Academy of Korean Studies. Cultural classification codes were assigned to “Chinatown” in the following process: First, the HRAF Cultural Classification Code was examined. Of the two types of classification code in this file, the classification scheme of OCM by number codes was taken as a reference. Next, in the list of vocabulary in “Korean Language Education Vocabulary Content Development”, the HRAF Classification Code was assigned to the vocabulary for which the ‘subject’ and ‘meaning’ categories were presented. Lastly, this study assigned the HRAF Code for the vocabulary of “Korean Language Education Vocabulary Content Development” to “Chinatown” and assigned the HRAF Cultural Classification Code for the vocabulary, not in the vocabulary list. Also, this study concretely examined the examples concerning how the cultural classification codes were assigned in the work. This study has significance in that it provides the baseline data for cross-cultural studies through a novel, attempting an analysis of cultural vocabulary in the novel text by utilizing the HRAF Classification Scheme, widely used all over the world in Cultural Anthropology and prepares the ground for practical utilization in Korean Literature Education.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.