Development of Morphological Diversity in Second Language Korean: An Nlp Analysis Using the Korean Morphological Richness Analyzer Author Name: Haerim Hwang

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Development of Morphological Diversity in Second Language Korean: An Nlp Analysis Using the Korean Morphological Richness Analyzer Author Name: Haerim Hwang

Popis výsledku v původním jazyce

"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."

Název v anglickém jazyce

Development of Morphological Diversity in Second Language Korean: An Nlp Analysis Using the Korean Morphological Richness Analyzer Author Name: Haerim Hwang

Popis výsledku anglicky

"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."

Druh

O - Ostatní výsledky

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů