Feature extraction of private-sector English tests using data mining
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- Ban Hiromi
- Graduate School of Nagaoka University of Technology
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- Oyabu Takashi
- NIHONKAI International Exchange Center
Bibliographic Information
- Other Title
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- データマイニングを用いた英語民間試験の英文の特徴抽出
Abstract
<p>In this study, English sentences of several private-sector English tests that the Japan’s education ministry has been considering to introduce as part of the university entrance common test 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.</p>
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 36 (0), 87-88, 2020
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390286981360839424
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- NII Article ID
- 130007958033
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed