Language Processing 1

Course content

In the course we will go through selected linguistic fields of relevance to language processing, e.g. morphology, syntax, and semantics; discuss the main challenges in natural language processing today and the methods applied, go through common language technology applications of importance to society, and implement and evaluate selected methods in language processing.

 

Learning outcome

The examinee is able to:

  • document knowledge of selected linguistic fields of relevance to language

technology, e.g. morphology, syntax, semantics, discourse

  • understand the main challenges in natural language processing today

and the methods applied

  • document knowledge of common language technology applications of

importance to society

  • implement and evaluate selected methods in language processing.

 

 

See the curriculum:

http://hum.ku.dk/uddannelser/aktuelle_studieordninger/it_cognition/it_cognition_msc.pdf

ECTS
7,5 ECTS
Type of assessment
Other
Active student participation consisting of 3-5 assignments.
passed/not passed
Marking scale
passed/not passed
  • Category
  • Hours
  • Class Instruction
  • 56
  • Preparation
  • 105
  • Exam Preparation
  • 45
  • English
  • 206