Feature extraction of private-sector English tests using data mining

DOI

Bibliographic Information

Other Title
  • 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

Details 詳細情報について

  • CRID
    1390286981360839424
  • NII Article ID
    130007958033
  • DOI
    10.14864/fss.36.0_87
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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