Automated Chinese Essay Scoring Based on Multilevel Linguistic Features

Tao Hsing Chang*, Yao Ting Sung

*此作品的通信作者

研究成果: 書貢獻/報告類型篇章

2 引文 斯高帕斯(Scopus)

摘要

Writing assessments make up an important part of the learning process as one masters the important linguistic skill of writing. However, this process has not been implemented effectively or on a large scale because the task of essay scoring is very time-consuming. The solution to this problem is AES, where machines are used to automatically score essays. In fact, the application of AES to English learning has been successful. Due to differences in linguistic characteristics, a redesign is needed before AES can be applied to Chinese learning. The purpose of this chapter is to introduce ACES, an automated system for scoring Chinese essays, and explain the basic framework, design principles, and scoring accuracy of the system. Unlike some end-to-end AES systems, ACES’ basic framework is designed to provide more interpretative features. The experimental results show that the performance of the ACES system is stable and reliable, and on par with other commercial English AES systems.

原文英語
主出版物標題Chinese Language Learning Sciences
發行者Springer Nature
頁面253-269
頁數17
DOIs
出版狀態已發佈 - 2019

出版系列

名字Chinese Language Learning Sciences
ISSN(列印)2520-1719
ISSN(電子)2520-1727

ASJC Scopus subject areas

  • 語言與語言學
  • 語言和語言學
  • 教育
  • 電腦科學應用

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