Feature extraction of English for the Common Test for University Admissions using data mining

Abstract

In this study, English sentences of “English” for the Common Test for University Admissions are examined in terms of metrical linguistics, compared to those for the National Center Test for University Admissions, and English textbooks for Japanese junior high and high school students. In short, frequency characteristics of character- and word-appearance are investigated using a program written in C++. These characteristics are approximated by an exponential function. Furthermore, the percentage of Japanese junior high school required vocabulary and American basic vocabulary is calculated to obtain the difficulty-level of each material.