A Statistical Approach on Automatic Passage Level Checking Framework for English Learner

Abstract

In this paper, we develop a preliminary research on passage grading system. We propose an approach to examine an English reading passage that meets students' ability and level. CRF has been applied to create a level characteristic model from passage corpus. The system calculates by using three features; word, syllable and sentence complexity. The system does not require manual criteria to grade a passage, but passages are automatically graded by comparing their scores to a model. The output of the system shows a level of passage based on Thai academic school level.