Till startsida
Sitemap
To content Read more about how we use cookies on gu.se

Statistical methods

Master's level | 7.5 credits | Course code: LT2202
Spring 2018
50% Day
Göteborg
Period: 15 January 2018 - 21 March 2018
INSTRUCTION LANGUAGE: English
2) Only EU/EEA citizens and students with approved residence permit in Sweden can apply

About the Course

The purpose of this course is to give an introduction to probabilistic modeling, statistical methods and their use within the field of language technology. The course covers a number of topics, for instance:

  • Probability theory
  • Information theory
  • Statistical theory (sampling, estimation, hypothesis testing)
  • Language modeling
  • Part-of-speech tagging
  • Syntactic parsing
  • Word sense disambiguation
  • Machine translation
  • Evaluation

More Information

http://www.flov.gu.se/mlt

Show more

Course Syllabus

LT2202

Requirements and Selection

Requirements: Admission to the course requires either successful completion of the course

  • LT2113 Natural Language Processing, 15 credits
or successful completion of the two courses
  • LT2103 Natural Language Processing, 7.5 credits and
  • LT2104 Programming for NLP, 7.5 credits,
or equivalent language technology skills and knowledge.

Selection: Selection is based upon the number of credits from previous university studies, maximum 225 credits.

Tuition Fee

Application fee: 900 SEK
Full course cost: 17 100 SEK
First payment: 17 100 SEK

EU/EEA citizens, Swedish residence permit holders and exchange students do not pay fees. More information on: http://www.universityadmissions.se

Study Guidance

Madelaine Miller, +46 31-786 5086, mlt-info@flov.gu.se

Department

Department of Philosophy, Linguistics, Theory of Science
Box 200
40530 Göteborg
Visiting address: Olof Wijksgatan 6

Page Manager: Webmaster
Last update: 2/20/2017 1:12 PM

Tell a friend about this page
Print version

Page Manager: Webmaster|Last update: 2/20/2017
Share:

The University of Gothenburg uses cookies to provide you with the best possible user experience. By continuing on this website, you approve of our use of cookies.  What are cookies?