A Multilingual Application for Automated Essay Scoring

نویسندگان

  • Daniel Castro-Castro
  • Rocío Lannes-Losada
  • Montse Maritxalar
  • Ianire Niebla
  • Celia Pérez-Marqués
  • Nancy C. Álamo-Suárez
  • Aurora Pons-Porrata
چکیده

In this paper, we present a text evaluation system for students to improve Basque or Spanish writing skills. The system uses Natural Language Processing techniques to evaluate essays by detecting specific measures. The application uses a client-server architecture and both the interface and the application itself are multilingual. The article also explains how the system can be adapted to evaluate Spanish essays written in Cuban schools.

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تاریخ انتشار 2008