Computational Text Analysis and Reading Comprehension Exam Complexity
Towards Automatic Text Classification
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Beschreibung
The main outcomes of the present research are the Text Classification Profile that includes the qualitative and quantitative description of linguistic characteristics pertinent in Intermediate and Advanced English reading texts and the L.A.S.T. Text Difficulty Index that makes possible the automatic classification of B2 and C1 English reading texts.
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 formula for automatically estimating text difficulty and assigning levels to texts consistently and reliably in accordance with the purposes of the exam and its candidature-specific characteristics.
Autor*in
Trisevgeni Liontou
Themen in »Computational Text Analysis and Reading Comprehension Exam Complexity«
Analysis Automatic Classification Complexity Comprehension Computational Computerlinguistik effect Exam Liontou reader Reading Text Textklassifizierung Textrezeption