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Programs and courses 2008-2009  

Computational linguistics
Academic year:2008-2009
Course code moduleFLWTKM0110
Semester:1st semester
Study load (hours)168
Theory (hours):30,00
Other (hours):
Part-time program:1
Instructor(s)Walter Daelemans
Guy De Pauw
Iris Hendrickx
Language of instruction:Dutch
Semester exam information:exam in the 1st semester
Contract restriction information:

1. Prerequisites
*Algemene competenties
BA language and literature or BA computer science


2. Objectives (expected learning outcomes)
Knowledge about the terminology and the main theories and models in computational linguistics. Ability to select and apply computational linguistic tools for the solution of language processing problems and for the development of applications.

3. Course content
Computational Linguistics studies the knowledge and algorithms needed to develop systems for the automatic processing of natural language (understanding text, producing text, translating text). Theory: - Definition of computational linguistics as a subdiscipline within Artificial Intelligence. - Main problems, techniques and methods. Deductive and inductive methods. - Computational lexicology, morphology, syntax, semantics and pragmatics - Corpora and annotation methods Practice: - Exercises with tools from computational linguistics and artificial intelligence

4. Teaching method
Direct contact:
  • Lectures

  • Personal work:
  • Exercises
  • Assignments - individual

  • 5. Assessment method
    Continuous assessment:
  • Exercises
  • Assignments

  • 6. Compulsory reading – study material
    Daniel Jurafsky and James H. Martin. SPEECH and LANGUAGE PROCESSING: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice-Hall, 2008 (second edition). Selected articles. Natural Language Toolkit

    7. Recommended reading - study material

    8. Tutoring
    Feedback on the exercises and assignments.

    laatste aanpassing: last update: 16/01/2009 10:01 hanna.goossens