Identifying students' writing styles by using computational linguistic approach

Namseok Lee, Kwangsu Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationHuman Centric Technology and Service in Smart Space, HumanCom 2012
Pages59-64
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 International Conference on Human-Centric Computing, HumanCom 2012 - Gwangju, Korea, Republic of
Duration: 2012 Sep 62012 Sep 8

Publication series

NameLecture Notes in Electrical Engineering
Volume182 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other2012 International Conference on Human-Centric Computing, HumanCom 2012
CountryKorea, Republic of
CityGwangju
Period12/9/612/9/8

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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