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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
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Many diagnostics have been proposed to examine subjecthood in Korean, some of which were investigated in terms of their validity as subject diagnostics through a series of experimental studies. This paper takes the experimental data from three experimental studies (Kim et al., 2015; Lee et al., 2015a; Kim et al., 2017) that were previously conducted and examines the validity of six diagnostic tests using a cross-validation and a machine learning method. The experimental data were evenly divided into 10 parts (10-fold cross-validation): Nine of them were used for machine learning (training data set) and the remaining one was for the testing (test data set). The analysis was conducted 10 times, and the average values were taken. A simple linear regression was conducted for machine learning. Through the analysis, the following results were observed: (i) The accuracy of the diagnostics for SSC was much higher than that of MSC (SSC: 81,78, MSC: 68.66), (ii) Adjunct Control was the most accurate for SSC, whereas Coordinated Deletion for MSC, (iii) HA and PL had low performance. The results also seem to imply that there are some parts which cannot be explained by a simple linear model but can be analyzed with non-linear modeling of language.
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참고문헌 (29)
참고문헌 신청
Andrews, A. / 1985 / Language Typology and Syntactic Description / Cambridge University Press :132~223
Falk, Y. / 2006 / Subjects and Universal Grammar / Cambridge University Press
Geisser, S. / 1993 / Predictive Inference / Chapman and Hall
Gravetter, F. / 2013 / Statistics for the Behavioral Sciences / Wadsworth
Gries, S. Th / 2013 / Statistics for Linguistics with R: A Practical Introduction / Guyter
Falk, Y. / 2006 / Subjects and Universal Grammar / Cambridge University Press
Geisser, S. / 1993 / Predictive Inference / Chapman and Hall
Gravetter, F. / 2013 / Statistics for the Behavioral Sciences / Wadsworth
Gries, S. Th / 2013 / Statistics for Linguistics with R: A Practical Introduction / Guyter
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