Computational text analysis and reading comprehension exam complexity: towards automatic text classification

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This book delineates a range of linguistic features that characterise the reading texts used at the B2 (Independent User) and C1 (Proficient User) levels of the Greek State Certificate of English Language Proficiency exams in order to help define text difficulty per level of competence. In addition, it examines whether specific reader variables influence test takers' perceptions of reading comprehension difficulty. The end product is a Text Classification Profile per level of competence and a f…

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Title Statements

Full title :Computational text analysis and reading comprehension exam complexity : towards automatic text classification / Trisevgeni Liontou.

Summary

Edition Statements

Publication Date:2015
Edition:Peter Lang edition

Publication Statements

Publisher(s):Peter Lang
Place of Publication:Frankfurt am Main
Language:eng
Publication Date:2015

The Physical Object

Description:1 online resource

Edition Identifiers

ISBN:9783653049442, 365304944X
oclc:ocn900276958
LC Classification:PE1128.A2
Dewey Decimal:428.0076

Cover; Abstract; List of Appendices; List of Abbreviations; Table of Contents; 1. Introduction; 1.1 Rationale of the study; 1.2 Aim of the study; 1.3 Usefulness of the study; 1.4 Book Structure; 2. Literature Review; 2.1 Introduction; 2.2 Readability Formulas; 2.3 Text structural complexity; 2.3.1 Text organisation; 2.3.2 Halliday & Hasan's Model of Text Cohesion; 2.4 Lexicogrammatical complexity; 2.4.1 Lexical Density; 2.4.2 Grammatical Intricacy; 2.4.3 Lexical Diversity; 2.4.4 Propositional Idea Density; 2.4.5 Word Frequency; 2.4.6 Idioms; 2.4.7 Phrasal Verbs.

2.4.8 Additional text variables2.5 Reader Variables; 2.5.1 Content schemata & reading comprehension; 2.5.2 Formal schemata & reading comprehension; 2.5.3 Topic preference & reading comprehension; 2.5.4 Background knowledge & test bias; 2.5.5 Test-takers' strategies & reading comprehension; 2.5.6 Sex-based differences & reading comprehension; 2.5.7 Additional test-takers' characteristics & reading comprehension; 2.6 Concluding remarks; 3. Research Methodology; 3.1 Introduction; 3.2 The KPG English Reading Corpus; 3.3 Automated Text Analysis Tools; 3.3.1 Basic Text Information.

3.3.2 Text genre specification3.3.3 Word Freq…

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