Kaisa_2012_3_photo by Veikko Somerpuro

Ilmoittaudu
13.8.2019 klo 09:00 - 13.9.2019 klo 23:59

Aikataulu

Tästä osiosta löydät kurssin opetusaikataulun. Tarkista mahdolliset muut aikataulut kuvauksesta.

PäivämääräAikaOpetuspaikka
Ke 4.9.2019
14:15 - 15:45
Ma 9.9.2019
14:15 - 15:45
Ke 11.9.2019
14:15 - 15:45
Ma 16.9.2019
14:15 - 15:45
Ke 18.9.2019
14:15 - 15:45
Ma 23.9.2019
14:15 - 15:45
Ke 25.9.2019
14:15 - 15:45
Ma 30.9.2019
14:15 - 15:45
Ke 2.10.2019
14:15 - 15:45
Ma 7.10.2019
14:15 - 15:45
Ke 9.10.2019
14:15 - 15:45
Ma 14.10.2019
14:15 - 15:45
Ke 16.10.2019
14:15 - 15:45
Ma 28.10.2019
14:15 - 15:45
Ke 30.10.2019
14:15 - 15:45
Ma 4.11.2019
14:15 - 15:45
Ke 6.11.2019
14:15 - 15:45
Ma 11.11.2019
14:15 - 15:45
Ke 13.11.2019
14:15 - 15:45
Ma 18.11.2019
14:15 - 15:45
Ke 20.11.2019
14:15 - 15:45
Ma 25.11.2019
14:15 - 15:45
Ke 27.11.2019
14:15 - 15:45
Ma 2.12.2019
14:15 - 15:45
Ke 4.12.2019
14:15 - 15:45
Ma 9.12.2019
14:15 - 15:45
Ke 11.12.2019
14:15 - 15:45

Kuvaus

This is a compulsory course for MA Programme Linguistic Diversity in the Digital Age. More specifically to the module Foundations of Linguistic Diversity in the Digital Age (LDA-3100).

The course is available to students from other degree programmes.

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  • Introduction to linguistics and phonetics (BA)
  • Introduction to computational linguistics (BA)
  • Mathematics for linguists (BA)
  • Statistics for linguists (BA)

Useful for part II are also

  • Programming for linguists (BA)
  • Machine learning for linguists (BA)

After successfully completing the course, students will be able to:

  • explain methods to encode text and speech
  • describe distributional properties of natural languages
  • explain structural properties of languages and their connection to formal language models
  • describe models for disambiguation and for representing linguistic information
  • apply basic digital methods in linguistic research with a focus on multilingual and cross-lingual research questions

Students are advised to take this course in semester 1. The course is offered every year in the fall term, periods I and II

The course

  • provides an overview of computational models of human languages and communication
  • introduces methods for processing text and speech
  • discusses practical linguistic tools and end-user applications

Part I: Modelling human languages and communication (theoretical part)

Part II: Digital methods in linguistic research (study groups and project work)

  • Jurafsky and Martin: Speech and Language Processing

Additional literature and teaching material will be chosen in connection with specific teaching events.

Part I:

  • lectures
  • interactive sessions (for example seminars or flipped classroom teaching)

Part II:

  • problem-based collaborative project work
  • workshops or seminars

Activity documentation via Moodle

  • Written exam and/or term-paper with peer-review (part I)
  • Oral presentation and/or project report (part II)
  • Standard grading scale (0-5)
  • contact teaching (lectures and seminars)
  • self-studies and group projects
  • examination: written exam or term paper (part I), project report and seminar presentation (part II)