Computational linguistics & EFL reading comprehension: The KPG text classification profile
DOI:
https://doi.org/10.36505/ExLing-2015/06/0011/000248Keywords:
linguistics, text complexity, reading comprehensionAbstract
Advances in Computational Linguistics and Machine Learning systems have made it possible for EFL teachers, material developers and test designers to go beyond surface text components and adopt more theoretically sound approaches to text readability, focusing on a wider range of deep text features. Taking advantage of recent developments, the present research explored the existence of any statistically significant lexicogrammatical differences between intermediate and advanced reading comprehension exam texts of the Greek State Certificate of English Language Proficiency national exams in order to better define text complexity per level of competence. The main outcome of the research has been the Text Classification Profile that includes a qualitative and quantitative description of features pertinent in intermediate and advanced reading comprehension exam texts.
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