EFL Learner Reading Time Model for Evaluating Reading Proficiency

  • Katsunori Kotani
  • Takehiko Yoshimi
  • Takeshi Kutsumi
  • Ichiko Sata
  • Hitoshi Isahara
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4919)


We propose a reading time model for learners of English as a foreign language (EFL) that is based on a learner’s reading proficiency and the linguistic properties of sentences. Reading proficiency here refers to a learner’s reading score on the Test of English for International Communications (TOEIC), and the linguistic properties are the lexical, syntactic and discourse complexities of a sentence. We used natural language processing technology to automatically extract these linguistic properties, and developed a model using multiple regression analysis as a learning algorithm in combining the learner’s proficiency and linguistic properties. Experimental results showed that our reading time model predicted sentence-reading time with a 22.9% error rate, which is lower than the models constructed based on linguistic properties proposed in previous studies.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Katsunori Kotani
    • 1
    • 2
  • Takehiko Yoshimi
    • 3
    • 2
  • Takeshi Kutsumi
    • 4
  • Ichiko Sata
    • 4
  • Hitoshi Isahara
    • 2
  1. 1.Kansai Gaidai UniversityHirakataJapan
  2. 2.National Institute of Information and Communications TechnologySoraku-gunJapan
  3. 3.Ryukoku UniversityOtsuJapan
  4. 4.Sharp CorporationYamatokoriyamaJapan

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