Journal of Global Tourism Research
Online ISSN : 2189-9282
Print ISSN : 2189-9274
Original Article
Feature extraction of the “Tourism English Proficiency Test” using data mining
Hiromi BanTakashi Oyabu
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JOURNALS OPEN ACCESS

2019 Volume 4 Issue 1 Pages 27-34

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Abstract

According to the White Paper on Tourism for 2018, 17.89 million Japanese people travelled abroad, and 28.69 million foreigners came to Japan for sightseeing in 2017. It can be said that it is just the time of sightseeing right now. Therefore, knowledge of tourism has become more and more important, and the necessity for using English, which can be said to be a world common language, has increased. As a measurement of English communication competence needed at tourism sites, the “Tourism English Proficiency Test” started in 1989. In this study, English sentences of the “Tourism English Proficiency Test” were examined, and compared with other proficiency tests and English textbooks for junior high and high school students in terms of metrical linguistics. In short, frequency characteristics of character- and word-appearance were investigated using a program written in C++. These characteristics were approximated by an exponential function. Furthermore, the percentage of Japanese junior high school required vocabulary and American basic vocabulary was calculated to obtain the difficulty-level as well as the K-characteristic of each material.

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© 2019 International Society for Tourism Research
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