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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국응용언어학회 응용언어학 응용언어학 제36권 제1호
- 발행연도
- 2020.3
- 수록면
- 141 - 170 (30page)
- DOI
- 10.17154/kjal.2020.3.36.1.141
이용수
초록· 키워드
오류제보하기
This study explored if linguistic indices calculated by computational tools can predict L2 writing proficiency scored by human raters. Using the latest computational tools such as TAALES, TAACO, and TAASSC with learner corpus (YELC), the language data related to lexical sophistication, syntactic complexity, and cohesion were measured and analyzed. The findings of this study show that the L2 writing proficiency judged by human raters can be significantly predicted by linguistic features. Among the linguistic features, the indices of lexical sophistication, such as word frequency, psycholinguistic word information, and ngrams, have the strongest power in predicting the narrative and argumentative writing quality. Syntactically, the fine-grained indices concerning clausal and nominal complexity contributed to explaining writing proficiency. While general characteristics were similar across the two genres, the distinctive linguistic features of each genre were identified. These findings illuminate a variety of aspects of L2 learners’ writing development and allow us to draw pedagogical implications on teaching and assessing writing in the Korean EFL context.
목차
I. INTRODUCTION
II. LITERATURE REVIEW
III. METHODOLOGY
IV. RESULTS
V. DISCUSSION
V. CONCLUSION
VI. LIMITATIONS
REFERENCES
참고문헌 (47)
참고문헌 신청
Alexopoulou, T. / 2017 / Task effects on linguistic complexity and accuracy : A large‐scale learner corpus analysis employing natural language processing techniques / Language Learning 67(S1):180~208
Biber, D. / 2019 / Register, genre, and style / Cambridge University Press
Biber, D. / 2011 / Should we use characteristics of conversation to measure grammatical complexity in L2 writing development / TESOL Quarterly 45(1):5~35
Brown, C. / 2008 / Automatic measurement of propositional idea density from part-of-speech tagging / Behavior Research Methods 40(2):540~545
Coltheart, M. / 1981 / The MRC psycholinguistic database / The Quarterly Journal of Experimental Psychology Section A 33(4):497~505
Biber, D. / 2019 / Register, genre, and style / Cambridge University Press
Biber, D. / 2011 / Should we use characteristics of conversation to measure grammatical complexity in L2 writing development / TESOL Quarterly 45(1):5~35
Brown, C. / 2008 / Automatic measurement of propositional idea density from part-of-speech tagging / Behavior Research Methods 40(2):540~545
Coltheart, M. / 1981 / The MRC psycholinguistic database / The Quarterly Journal of Experimental Psychology Section A 33(4):497~505
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UCI(KEPA) : I410-ECN-0101-2020-701-000448328