Enhancing automatic Chinese essay scoring system from figures-of-speech

Tao Hsing Chang, Chia-Hoang Lee, Yu-Ming Chang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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 languageEnglish
Title of host publicationPACLIC 20: PROCEEDINGS OF THE 20TH PACIFIC ASIA CONFERENCE ON LANGUAGE, INFORMATION AND COMPUTATION
PublisherTsinghua University Press
Pages28-34
Number of pages7
ISBN (Print)7-302-14060-X
StatePublished - 2006
Event20th Pacific Asia Conference on Language, Information and Computation - Wuhan, China
Duration: 1 Nov 20063 Nov 2006

Conference

Conference20th Pacific Asia Conference on Language, Information and Computation
CountryChina
CityWuhan
Period1/11/063/11/06

Keywords

  • automated essay scoring-; figures-of-speech; Chinese writing; ID3

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