Comparing Academic Papers of Students and Experts in terms of Linguistic Features with Natural Language Processing

Airu Zhao, Haozhou Sun, Wei Chen, Hercy N.H. Cheng

研究成果: 書貢獻/報告類型會議貢獻

摘要

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.

原文英語
主出版物標題ICSET 2020 - 2020 the 4th International Conference on E-Society, E-Education and E-Technology
發行者Association for Computing Machinery, Inc
頁面63-67
頁數5
ISBN(電子)9781450388771
DOIs
出版狀態已發佈 - 八月 15 2020
對外發佈
事件4th International Conference on E-Society, E-Education and E-Technology, ICSET 2020 - Virtual, Online, 臺灣
持續時間: 八月 15 2020八月 17 2020

出版系列

名字ACM International Conference Proceeding Series

會議

會議4th International Conference on E-Society, E-Education and E-Technology, ICSET 2020
國家/地區臺灣
城市Virtual, Online
期間8/15/208/17/20

ASJC Scopus subject areas

  • 軟體
  • 人機介面
  • 電腦視覺和模式識別
  • 電腦網路與通信

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