Text Complexity Classification Based on Linguistic Information: Application to Intelligent Tutoring of ESL

@article{Kurdi2020TextCC,
  title={Text Complexity Classification Based on Linguistic Information: Application to Intelligent Tutoring of ESL},
  author={M. Kurdi},
  journal={J. Data Min. Digit. Humanit.},
  year={2020},
  volume={2020}
}
  • M. Kurdi
  • Published 2020
  • Computer Science
  • J. Data Min. Digit. Humanit.
The goal of this work is to build a classifier that can identify text complexity within the context of teaching reading to English as a Second Language (ESL) learners. To present language learners with texts that are suitable to their level of English, a set of features that can describe the phonological, morphological, lexical, syntactic, discursive, and psychological complexity of a given text were identified. Using a corpus of 6171 texts, which had already been classified into three… Expand
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