Using Corpus Analysis in Korean Popular Culture & Media for Autonomous Language Learning
Disciplines
East Asian Languages and Societies | First and Second Language Acquisition | Korean Studies | Linguistics | Reading and Language
Abstract (300 words maximum)
The Korean Wave (“Hallyu”) has grown to become an influence on international pop culture. A variety of Hallyu content, including popular music, films, dramas, webtoons, etc., provides multiple modes of text in diverse cultural contexts. These systematically or randomly collected texts are electronically stored as a “corpus” and serve as a valuable source for second/foreign language (L2) learning. As technology constantly advances, there are definite signs of a more fully integrated approach to technology-enhanced language learning emerging. New Web 2.0 technology has led to an explosion of interest in its use within language programs due to its convenient approach to autonomous learning that allows learners to embrace e-learning. Research has shown that these digital technologies support student-centered learning environments and contribute to language development. In the years following COVID-19, learning environments have been evolving to enhance learners’ autonomy. The purpose of this presentation is to showcase how language learners can use a corpus-based linguistic approach to analyze a set of randomly selected text samples from a variety of Hallyu content by making a dictionary with entry words using available corpus tools to assess their uses and relative frequencies. This presentation is expected to contribute not only to learners’ linguistic knowledge of culturally rich corpus data when they work with texts from Korean pop culture but also to their use of tools and techniques of corpus linguistics to discover certain rules of language use and linguistic patterns and their vocabulary knowledge of specific frequency levels, which is one of the best predictors of L2 reading comprehension.
Academic department under which the project should be listed
RCHSS - Foreign Languages
Primary Investigator (PI) Name
Jeongyi Lee
Poster used during presentation at the KSU Student Scholar Symposium
Using Corpus Analysis in Korean Popular Culture & Media for Autonomous Language Learning
The Korean Wave (“Hallyu”) has grown to become an influence on international pop culture. A variety of Hallyu content, including popular music, films, dramas, webtoons, etc., provides multiple modes of text in diverse cultural contexts. These systematically or randomly collected texts are electronically stored as a “corpus” and serve as a valuable source for second/foreign language (L2) learning. As technology constantly advances, there are definite signs of a more fully integrated approach to technology-enhanced language learning emerging. New Web 2.0 technology has led to an explosion of interest in its use within language programs due to its convenient approach to autonomous learning that allows learners to embrace e-learning. Research has shown that these digital technologies support student-centered learning environments and contribute to language development. In the years following COVID-19, learning environments have been evolving to enhance learners’ autonomy. The purpose of this presentation is to showcase how language learners can use a corpus-based linguistic approach to analyze a set of randomly selected text samples from a variety of Hallyu content by making a dictionary with entry words using available corpus tools to assess their uses and relative frequencies. This presentation is expected to contribute not only to learners’ linguistic knowledge of culturally rich corpus data when they work with texts from Korean pop culture but also to their use of tools and techniques of corpus linguistics to discover certain rules of language use and linguistic patterns and their vocabulary knowledge of specific frequency levels, which is one of the best predictors of L2 reading comprehension.