Language Technology Lab

Welcome to the Language Technology Lab


The language technology lab carries out research in the field of Natural Language Processing. We mainly focus on two areas of specialization:

  • Educational NLP
    • Short answer scoring
    • Essay scoring
    • Vocabulary Acquisition
    • Spelling and grammar correction
  • Social Media Analysis
    • Robustness of tools
    • Domain adaption
    • Large-scale semantic processing

We are committed to reproducible and replicable research. Thus, we generally make all research software publicly available.




    New DFG Network on Personalized Language Learning

    17.11.2014


    The German Research Foundation (DFG) funds a new network on “Personalized Language Learning” (German title: “INDUS – Individualisiertes Sprachlernen: Sprachtechnologische Ansätze und ihre Schnittstellen”)

    The network brings together researchers from many disciplines like computer science, linguistics, educational research, psychology, and language acquisition. Together they will examine how technology can help to personalize language learning in order to make the learning process more effective and (hopefully) more fun, too.

    Website of the network: https://sites.google.com/site/indusnetzwerk/


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    Paper accepted at 3rd workshop on NLP for computer-assisted language learning

    17.11.2014


    The paper:

    Towards Automatic Scoring of Cloze Items by Selecting Low-Ambiguity Contexts
    by Tobias Horsman & Torsten Zesch

    was accepted at the 3rd workshop on NLP for computer-assisted language learning in Uppsala, Sweden.


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    New TACL article “Predicting the Difficulty of Language Proficiency Tests”

    01.11.2014


    The article “Predicting the Difficulty of Language Proficiency Tests
    by Lisa Beinborn, Torsten Zesch, Iryna Gurevych
    has been published in the second volume of the Transaction of the ACL (TACL) journal.


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