Profling English sentences based on CEFR levels

Satoru Uchida, Yuki Arase, Tomoyuki Kajiwara

研究成果: ジャーナルへの寄稿学術誌査読


The study aims to demonstrate the procedure for constructing the CEFR-based Sentence Profle (CEFR-SP), a dataset with the CEFR levels assigned for sentences, and to identify the characteristics at each level. Basic statistics such as word length and sentence length are presented for each CEFR level for 7,511 carefully selected sentences, and statistical tests are conducted between adjacent levels to identify criterial features. The fndings reveal signifcant diferences in word length between adjacent levels, while word difculty is not signifcant in discriminating levels at either end (A1–A2, C1–C2). Sentence length and depth are also not signifcant discriminators for higher levels (B2–C1, C1–C2). Notably, sentence-level data generally exhibit discriminative values compared to text-level statistics, indicating their direct capture of characteristics at each CEFR level.

ジャーナルITL - International Journal of Applied Linguistics (Belgium)
出版ステータス印刷中 - 2024

!!!All Science Journal Classification (ASJC) codes

  • 言語および言語学
  • 教育
  • 言語学および言語


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