TY - GEN
T1 - Comparing Academic Papers of Students and Experts in terms of Linguistic Features with Natural Language Processing
AU - Zhao, Airu
AU - Sun, Haozhou
AU - Chen, Wei
AU - Cheng, Hercy N.H.
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/8/15
Y1 - 2020/8/15
N2 - In graduate education, the quality of academic papers can reflect individual scientific research achievements. This study compared the differences in linguistic features between the papers of experts and graduate students with natural language processing. More specifically, for revealing the problems existing in the writing of graduate students, this study analyzed academic papers in a journal as experts and those of graduate students by using Chinese word segmentation. The study found that the graduate students and experts have differences in the use of various parts of speech (i.e., nouns, verbs, adjectives, pronouns, and conjunctions) and connective words (i.e., organization, comparison, summarization, etc.). The results may be helpful for further designing scaffolding to improve the writing quality of graduate students' papers.
AB - In graduate education, the quality of academic papers can reflect individual scientific research achievements. This study compared the differences in linguistic features between the papers of experts and graduate students with natural language processing. More specifically, for revealing the problems existing in the writing of graduate students, this study analyzed academic papers in a journal as experts and those of graduate students by using Chinese word segmentation. The study found that the graduate students and experts have differences in the use of various parts of speech (i.e., nouns, verbs, adjectives, pronouns, and conjunctions) and connective words (i.e., organization, comparison, summarization, etc.). The results may be helpful for further designing scaffolding to improve the writing quality of graduate students' papers.
KW - Academic writing
KW - Chinese word segmentation
KW - graduate education
KW - linguistic features
UR - http://www.scopus.com/inward/record.url?scp=85096595848&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85096595848&partnerID=8YFLogxK
U2 - 10.1145/3421682.3421689
DO - 10.1145/3421682.3421689
M3 - Conference contribution
AN - SCOPUS:85096595848
T3 - ACM International Conference Proceeding Series
SP - 63
EP - 67
BT - ICSET 2020 - 2020 the 4th International Conference on E-Society, E-Education and E-Technology
PB - Association for Computing Machinery, Inc
T2 - 4th International Conference on E-Society, E-Education and E-Technology, ICSET 2020
Y2 - 15 August 2020 through 17 August 2020
ER -