Abstract
Chinese automated essay scoring (CAES) is a very important tool for many educational researches. However, none of the methods for retrieving features in English essays is applicable to Chinese writings because Chinese grammar parsers cannot produce reliable and useful syntactic features. CAES systems must explore other distinct features in Chinese writing. This paper proposes a method for retrieving two Chinese figures-of-speech from essays and to predict the scores of essays based on the two skills used in the essays. A scoring model based on ID3 decision tree algorithm will validate and show that the proposed method increases the performance of CAES effectively.
| Original language | English |
|---|---|
| Title of host publication | PACLIC 20: PROCEEDINGS OF THE 20TH PACIFIC ASIA CONFERENCE ON LANGUAGE, INFORMATION AND COMPUTATION |
| Publisher | Tsinghua University Press |
| Pages | 28-34 |
| Number of pages | 7 |
| ISBN (Print) | 7-302-14060-X |
| State | Published - 2006 |
| Event | 20th Pacific Asia Conference on Language, Information and Computation - Wuhan, China Duration: 1 Nov 2006 → 3 Nov 2006 |
Conference
| Conference | 20th Pacific Asia Conference on Language, Information and Computation |
|---|---|
| Country | China |
| City | Wuhan |
| Period | 1/11/06 → 3/11/06 |
Keywords
- automated essay scoring-; figures-of-speech; Chinese writing; ID3