Computer Linguistics for Education

Chair: Andrea Horbach, Ramon Ziai


Computational linguistics have gained considerable importance in education in recent years. At the international level, this development is reflected in workshops such as BEA (Innovative Use of NLP for Building Educational Applications) and NLP4CALL. In German-speaking countries, there are currently no workshops or working groups that address this topic. Thematic overlaps exist with the INDUS (Individualized Language Learning) DFG network, which will expire in 2018, however.

Our goal is to provide a platform for computational linguistic research that places computational linguistics at the service of education. Our working group includes all areas of research and application in which language is automatically processed for teaching and learning purposes. Following on from the dormant working group "Language and Text Technology Methods in eLearning", we want to bring together researchers, teachers and industry representatives in German-speaking countries to discuss their work on automatic language processing for educational purposes and to create synergies.

Thematic priorities

  • Automatic evaluation of linguistic data: support for teachers
  • Intelligent tutoring systems: Automatic feedback for learners on form and content
  • Grammatical error detection
  • Generation of language exercises
  • Evaluation of the difficulty of tests and exercises
  • Preparation of texts for learners
  • Native language recognition for L2 texts

Other, thematically related topics are always welcome.