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Computational text analysis and reading comprehension exam complexity

Towards Automatic Text Classification

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  • 278 pages
  • 10 hours of reading

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The main outcomes of the present research are the Text Classification Profile that includes the qualitative and quantitative description of linguistic characteristics pertinent in Intermediate and Advanced English reading texts and the L.A.S.T. Text Difficulty Index that makes possible the automatic classification of B2 and C1 English reading texts.

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Computational text analysis and reading comprehension exam complexity, Trisevgeni Liontou

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Released
2015
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