AG Computerlinguistik
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Group Computational Linguistics

Faculty of Linguistics & Literary Studies


Former Staff

  • Dr. Udo Klein
  • Dr. Maik Stührenberg
  • Christian Wurm

Research Areas

The Group "Computational Linguistics" consists of three different subgroups.

  1. Theoretical Computational Linguistics and Mathematical Linguistics
  2. Applied Computational Linguistics
  3. Text Technology

Theoretical Computational Linguistics and Mathematical Linguistics

Contact:   Marcus Kracht

Theoretical computational linguistics focusses primarily on the theoretical possibilities for using the computer to represent and manipulate linguistic structures. There is a variety of more or less specialised methods in computational linguistics to cater for the needs of the various individual subfields of linguistics. Mathematical linguistics deals with linguistic structures more directly in the sense that it tries to characterise linguistic structures mathematically and then to study their formal properties. Thus mathematisation is a first step in the direction of a computer based treatment.

The main research areas of this group are:

  • model-theoretic syntax
  • formal semantics
  • computational semantics
  • parsing

Applied Computational Linguistics

Contact:  N.N.

Text Technology

Contact:  N.N.

Text technology deals with computer based structuring, analysis and treatment of information. The methods used for this end are precise, that is, algorithmic and the information is given in the form of a text based representational format, that is, in the form of semi-structured data. Text technology as a scientific discipline combines (aspects of) the areas of text, hypertext, markup languages and document grammars, data bases, and corpus linguistics (both questions of the administration of large corora as well as annotation), as well as information mining and summary generation.

The main research areas of this group are:

  • document grammars
  • markup languages for structuring multidimensional annotated corpora
  • standardised metadata
  • e-learning and text technology