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David Alfter

David Alfter is a former staff member, who quit on 2023-12-31.

Guest Researcher

Natural Language Processing/Computational Linguistics

Areas of interest

  • User modeling
  • Intelligent Computer Assisted Language Learning
  • Lärka
  • Lexical complexity

Recent publications

2019

2018

2017

2016

Education

  • MA in Computational Linguistics (Universität Trier, Germany)
  • BA in Computational Linguistics and English Linguistics (Universität Trier, Germany)

Research

I'm working on the Intelligent Computer Assisted Language Learning platform Lärka.

My work focuses on modeling and predicting lexical complexity of words and improving the language learning experience by personalizing the experience for the user using both individual and group modeling.

I'm also interested in developing more open ended exercises.

Research activities

Teaching/Supervision

Fall term 2016

  • LT2111 Introduction to programming: Lab supervision