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Dr. PILAN Ildiko

Postdoctoral Fellow

Contact Information

Office: BOC-R6157 
Phone: (852) 3442 2778
Email: ipilan@cityu.edu.hk

Research Interests

  • Computational Linguistics
  • Computer-Assisted Language Learning
  • Machine Learning
  • Learner corpora
  • Semantic Web Technologies
  • Algorithmic fairness
Ildikó Pilán received her PhD in Natural Language Processing at the Swedish Language Bank, at the University of Gothenburg in 2018. Her research topics so far have included intelligent computer-assisted language learning, linguistic linked open data, computational lexicography and algorithmic bias.

Previous Experience

  • Oct 2018 - Jan 2019, CTO / Research Scientist, Develop Diverse. Research and development on detection and replacement of stereotypical language using natural language methods. <https://www.developdiverse.com/>.

Publication Show All Publications Show Prominent Publications


  • Pilán, Ildikó. , Volodina, Elena. & Borin, Lars. (2016). Candidate sentence selection for language learning exercises: from a comprehensive framework to an empirical evaluation. Traitement Automatique des Langues (TAL), Special issue on NLP for learning and teaching. 57. 67 - 91.

Conference Paper

  • Pilán, Ildikó. , Volodina, Elena. & Zesch, Torsten. (2016). Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks. 26th International Conference on Computational Linguistics (COLING). (pp. 2101 - 2110). Osaka. Japan: .


  • Pilán, Ildikó. (17 May 2018). Automatic proficiency level prediction for Intelligent Computer-Assisted Language Learning. Gothenburg:  University of Gothenburg. 978-91-87850-68-4.