Feature extraction of English for “The National Examination for certified General Travel Service Supervisor” using data mining

Abstract

In this study, English sentences of the “The National Examination for certified General Travel Service Supervisor,” a qualification test for being required to sell travel products at a travel agency are examined in terms of metrical linguistics. 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.