دورية أكاديمية

Korean Syntactic Complexity Analyzer (KOSCA): An NLP Application for the Analysis of Syntactic Complexity in Second Language Production

التفاصيل البيبلوغرافية
العنوان: Korean Syntactic Complexity Analyzer (KOSCA): An NLP Application for the Analysis of Syntactic Complexity in Second Language Production
اللغة: English
المؤلفون: Haerim Hwang (ORCID 0000-0003-0888-590X), Hyunwoo Kim (ORCID 0000-0003-4810-6333)
المصدر: Language Testing. 2024 41(3):506-529.
الإتاحة: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 24
تاريخ النشر: 2024
نوع الوثيقة: Journal Articles
Reports - Research
Descriptors: Korean, Natural Language Processing, Syntax, Computer Graphics, Computer Interfaces, Language Tests, Language Proficiency, Written Language, Oral Language, Open Source Technology, Computational Linguistics, Form Classes (Languages), Test Validity, Test Reliability, Second Language Learning
DOI: 10.1177/02655322231222596
تدمد: 0265-5322
1477-0946
مستخلص: Given the lack of computational tools available for assessing second language (L2) production in Korean, this study introduces a novel automated tool called the Korean Syntactic Complexity Analyzer (KOSCA) for measuring syntactic complexity in L2 Korean production. As an open-source graphic user interface (GUI) developed in Python, KOSCA provides seven indices of syntactic complexity, including traditional and Korean-specific ones. Its validity was tested by investigating whether the syntactic complexity indices measured by it in L2 written and spoken production could explain the variability of L2 Korean learners' proficiency. The results of mixed-effects regression analyses showed that all seven indices significantly accounted for learner proficiency in Korean. Subsequent stepwise multiple regression analyses revealed that the syntactic complexity indices explained 56.0% of the total variance in proficiency for the written data and 54.4% for the spoken data. These findings underscore the validity of the syntactic complexity indices measured by KOSCA as reliable indicators of L2 Korean proficiency, which can serve as a valuable resource for researchers and educators in the field of L2 Korean learning and assessment.
Abstractor: As Provided
ملاحظات: https://osf.io/yjcze
Entry Date: 2024
رقم الأكسشن: EJ1436398
قاعدة البيانات: ERIC