TY - GEN
T1 - Identifying students' writing styles by using computational linguistic approach
AU - Lee, Namseok
AU - Cho, Kwangsu
PY - 2012
Y1 - 2012
N2 - The purpose of this study was to identify stable writing styles of students for implementing the cognitive learning system of writing education. According to the previous research, writing styles of writers could be reflected by the linguistic features of writing such as ambiguity, cohesion, lexical diversity, and syntactic complexity. This study explored the method of capturing students' writing styles by investigating the similarity of linguistic features between drafts and comments written by the same students in a peer review system. The computational linguistic tool, Coh-Merix, was used for analyzing the linguistic features of drafts and comments produced by 41 undergraduate students. The results of this study showed that there was similarity between drafts and comments in the measures of ambiguity, lexical diversity, and syntactic complexity, whereas there was difference in the measures of cohesion.
AB - The purpose of this study was to identify stable writing styles of students for implementing the cognitive learning system of writing education. According to the previous research, writing styles of writers could be reflected by the linguistic features of writing such as ambiguity, cohesion, lexical diversity, and syntactic complexity. This study explored the method of capturing students' writing styles by investigating the similarity of linguistic features between drafts and comments written by the same students in a peer review system. The computational linguistic tool, Coh-Merix, was used for analyzing the linguistic features of drafts and comments produced by 41 undergraduate students. The results of this study showed that there was similarity between drafts and comments in the measures of ambiguity, lexical diversity, and syntactic complexity, whereas there was difference in the measures of cohesion.
UR - http://www.scopus.com/inward/record.url?scp=84870742946&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84870742946&partnerID=8YFLogxK
U2 - 10.1007/978-94-007-5086-9_8
DO - 10.1007/978-94-007-5086-9_8
M3 - Conference contribution
AN - SCOPUS:84870742946
SN - 9789400750852
T3 - Lecture Notes in Electrical Engineering
SP - 59
EP - 64
BT - Human Centric Technology and Service in Smart Space, HumanCom 2012
T2 - 2012 International Conference on Human-Centric Computing, HumanCom 2012
Y2 - 6 September 2012 through 8 September 2012
ER -