中國學生英語作文自動評分模型的構建

內容概要

《中國學生英語作文自動評分模型的構建》由梁茂成編著。學生作文自動評分系統(tǒng)在國外已有研究和開發(fā)。有些已經(jīng)實際應用多年，但在中國仍比較少見?！吨袊鴮W生英語作文自動評分模型的構建》旨在構建中國學生英語作文自動評分的統(tǒng)計模型，探討學生英語作文中的多種文本特征項對學生作文成績的預測能力。通過模型構建和模型驗證表明機器評分的信度達到甚至超過人工評分的信度，該模型對中國學生英語作文質量的解釋能力可以與國外應用于母語作文自動評分的軟件系統(tǒng)對母語作文質量的解釋能力相媲美。

書籍目錄

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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