Development of Morphological Diversity in Second Language Korean: An Nlp Analysis Using the Korean Morphological Richness Analyzer Author Name: Haerim Hwang
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AVYJEW24F" target="_blank" >RIV/00216208:11320/23:VYJEW24F - isvavai.cz</a>
Result on the web
<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4334736" target="_blank" >https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4334736</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2139/ssrn.4334736" target="_blank" >10.2139/ssrn.4334736</a>
Alternative languages
Result language
angličtina
Original language name
Development of Morphological Diversity in Second Language Korean: An Nlp Analysis Using the Korean Morphological Richness Analyzer Author Name: Haerim Hwang
Original language description
"This study proposes a new tool to measure morphological complexity in Korean production data and investigates whether it can explain second language (L2) development. Most of the existing linguistic complexity indices are limited to lexical and syntactic measures. Yet morphological complexity should not be neglected, particularly for agglutinative languages like Korean, in which important syntactico-semantic information is encoded in diverse functional morphemes. This study thus extends the research on linguistic complexity to the domain of morphology and to Korean, an understudied language in this regard. We developed a natural language processing application, which we call the Korean Morphological Richness Analyzer 1.0, and then assessed 416 L2 Korean narrative essays for morphological diversity. The results show that overall morphological diversity developed along with L2 proficiency only at lower proficiency levels, but this pattern varies by morpheme type such that function morphemes develop faster between lower proficiency levels, and content morphemes develop faster between higher proficiency levels. These findings are discussed in regard to their implications for L2 education and assessment."
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů