A study on the feasibility of CET oral test based on automatic essay marking  

基于作文自动评分的大学英语口语评估系统可行性(英文)

作　　者：刘健刚[1] 郑玉琪[1] 陈美华[1] 姜浩[2] 赵力[3] 

机构地区：[1]东南大学外国语学院,南京210096 [2]东南大学计算机科学与工程学院,南京210096 [3]东南大学信息科学与工程学院,南京210096

出　　处：《Journal of Southeast University(English Edition)》2012年第4期410-414,共5页东南大学学报（英文版）

基　　金：The Humanities and Social Sciences Project granted from the Ministry of Education in China(No.10YJA740061,11YJA740121);the Teaching Reform Key Project under Educational Section of Jiangsu Province(No.2011JSJG453);Southeast University Teaching Reform Project for Graduates(No.2010-54);Southeast University Teaching Reform Project for Post-Graduates(No.KJGKT12-06);the Natural Science Foundation of Jiangsu Province(No.BK2008354);the National Natural Science Foundation of China(No.6550181821,60975017)

摘　　要：This paper discusses the approach to the CET （college English test） oral test based on automatic essay marking （AEM）. The reliability and validity arouses a dispute on Internet-based CET （iB-CET） oral test in China, leading to the penetration into oral test contents in dialogue, description or comment, and question answering. Then, a probe into transformation from a spoken document into a textual document is touched on a conversion ratio of 72% adopted at the present time, AEM to be carried forward being a necessary hypothesis for Afterwards, this paper focuses on the pipeline in AEM with the content features and the language itself, which is established in two different models in marking for extraction and detection. Through experiments, this paper reveals the fact that an iB-CET oral test can be performed perfectly in the pipeline of spoken documents transformed into textual documents which can be automatically marked. Hence the design of the iB-CET oral test reaches its reliability and validity.论述了作文自动评分系统平台上大学英语口语测试的实现途径.英语口语测试的可信度和有效度向中国当今的大学英语口语机考提出了挑战,涉及机考英语口语测试是否需要还原传统的对话、叙述或评述、问答问题三大评估内容.首先简述了口头言语转化文字言语实现概率(72%)的现况,并以此为自动评分的前提设想.其次,设想了大学英语口语测试的实现途径,即在口头言语转化为文字后,应用作文自动平分对话语进行口语测试系统的2种建模:言语内容检测模型和语言本身检测模型.通过实验,论证了运用作文自动评分系统平台进行大学英语口语测试的可实现性,即实现了首先借助语音识别技术将口头言语转化为文字言语,然后进行文字言语评估的自动评分.这种基于作文自动评分的大学英语口语测试系统建模研究和试验揭示了我国大学英语口语机考的可信度和有效度.

关 键 词：reliability and validity spoken document and textual document automatic essay marking 

分 类 号：H319.3[语言文字—英语]