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A Machine Learning Method for Estimating the Difficulty Level of Graded Readers
A machine learning method was investigated to analyze how syntax affects reading difficulty, first categorising graded reader texts into parts of speech, then using a sliding window method to count different patterns of word types. Next we used clustering to check whether the features could be classified by difficulty level.