中国学生英语作文自动评分模型的构建

出版时间:2011-1  出版社:外语教学与研究出版社  作者:梁茂成  页数:291  

内容概要

《中国学生英语作文自动评分模型的构建》由梁茂成编著。学生作文自动评分系统在国外已有研究和开发。有些已经实际应用多年,但在中国仍比较少见。《中国学生英语作文自动评分模型的构建》旨在构建中国学生英语作文自动评分的统计模型,探讨学生英语作文中的多种文本特征项对学生作文成绩的预测能力。通过模型构建和模型验证表明机器评分的信度达到甚至超过人工评分的信度,该模型对中国学生英语作文质量的解释能力可以与国外应用于母语作文自动评分的软件系统对母语作文质量的解释能力相媲美。

书籍目录

List of AbbreviationsList of TablesList of FiguresPart One IntroductionIntroducing the Study0.1 Introductory remarks0.2 Need for this study0.2.1 Theoretical considerations0.2.2 Practical considerations0.3 Description of the study0.4 Organization of the study0.5 SummaryPart Two Literature ReviewChapter 1 A Review of Existing Computer-Assisted Essay Scoring Systems1.1 Introduction1.2 Key concepts1.2.1 Computer-assisted essay scoring1.2.2 EFL writing assessment1.3 Existing computer-assisted essay scoring systems1.3.1 Project Essay Grade (PEG): A form-focused system1.3.2 Intelligent Essay Assessor (IEA): A content-focused system1.3.3 E-rater: A hybrid system with a modular structure1.3.4 An appraisal of the three existing systems1.4 Lessons from existing essay scoring systems1.5 SummaryChapter 2 Studies on Measures of Writing Quality2.1 Introduction2.2 Measures of writing quality in the literature2.2.1 Measures of the quality of language2.2.2 Measures of the quality of content and organization2.3 An overview of the measures in the literature2.4 A conceptual model for the computer-assisted scoring of EFL essays2.5 Proposed measures of EFL writing quality2.5.1 Proposed measures of the quality of language in EFL writing2.5.2 Proposed measures of the quality of content in EFL writing2.5.3 Proposed measures of the quality of organization in EFL writing2.6 SummaryPart Three MethodologyChapter 3 Research Questions and Data Preparation3.1 Introduction3.2 Research questions3.3 The corpus3.4 The rating scheme3.4.1 Selecting a rating scale3.4.2 The revised rating scale3.4.3 The evaluation of content3.4.4 The weighting scheme3.5 Rating3.5.1 Rater selection3.5.2 Rater training3.5.3 The rating sessions3.6 Score reliability3.7 SummaryChapter 4 Text Analysis and Statistical Analysis4.1 Introduction4.2 Tools4.3 Essay feature extraction4.3.1 Language features4.3.2 Content features4.3.3 Organizational features4.4 Data analysis4.4.1 Correlation analysis4.4.2 Multiple regression analysis4.4.3 Stages of data analysis4.5 SummaryPart Four Results and DiscussionChapter 5 Identifying Predictors of EFL Writing Quality5.1 Introduction5.2 Linguistic features and writing quality5.2.1 Fluency and writing quality5.2.2 Complexity of language and writing quality5.2.3 Measures of linguistic idiomaticity and appropriateness5.3 Results of content analysis5.3.1 Results of Latent Semantic Analysis5.3.2 Procedural vocabulary and essay score5.4 Essay organization and writing quality5.4.1 Paragraphing and writing quality5.4.2 Discourse conjuncts and writing quality5.4.3 Demonstratives, pronouns, connective and writing quality5.5 Power of the predictors proposed in this study5.6 SummaryChapter 6 A Statistical Model for Computer-Assisted Essay Scoring6.1 Introduction6.2 Diagnosing the preliminary model6.3 The refined model6.4 Predictors and aspects of writing quality measured6.4.1 Predictors in the language module6.4.2 Predictors in the content module6.4.3 Predictors inthe organization module6.4.4 Interdependence of the modules6.5 Implementing the model6.6 SummaryChapter 7 Validating the Model7.1 Introduction7.2 Cross-validating the model7.3 Reliability of computer scores in cross-validation7.3.1 Aspects of reliability7.3.2 Consistency estimates7.3.3 Consensus estimates7.4 Double cross-validation7.4.1 Constructing the model7.4.2 Model statistics and estimated equation7.5 Reliability of computer scores in double cross-validation7.6 Comparison with existing essay scoring systems7.6.1 Comparison with PEG7.6.2 Comparison with IEA7.6.3 Comparison with E-rater7.7 SummaryPart Five ConclusionChapter 8 Conclusion8.1 Major findings8.1.1 A model for the computer-assisted scoring of EFL essays8.1.2 Predictors of EFL writing quality8.2 Limitations of the study8.3 Future workReferencesAppendicesAppendix Ⅰ PEG's proxes and their beta values (Page 1968)Appendix Ⅱ Page's (1995) model and variablesAppendix Ⅲ Argument weightAppendix Ⅳ Examples of good openings and endingsAppendix Ⅴ Scoring table (Organization & Content)Appendix Ⅵ Scoring table (Language)Appendix Ⅶ List of stopwordsAppendix Ⅷ Lemma list (excerpt)Appendix Ⅸ List of content wordsAppendix Ⅹ Sample essaysAppendix Ⅺ POS-tagged samples

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