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LDA-3103 Digitaalinen lingvistiikka, 10 op 
Tunniste LDA-3103  Voimassaolo 01.01.2017 -
Nimi Digitaalinen lingvistiikka  Lyhenne Digitaalinen li 
Laajuus10 op   
OpiskelumuotoSyventävät opinnot
LajiOpintojakso   
  ArvosteluYleinen asteikko 
  ei
    Voidaan suorittaa useastiei
Vastuuyksikkö Kielellisen diversiteetin ja digitaalisten menetelmien maisteriohjelma 

Opettajat
Nimi
Jörg Tiedemann 

Kuvaus
Kohderyhmä 

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.

 

 
Ajoitus 

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

 
Osaamistavoitteet 

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
 
Toteutus 
  • 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)
 
Edeltävät opinnot tai edeltävä osaaminen 

-

 
Suositeltavat valinnaiset opinnot 
  • 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)
 
Sisältö 

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)

 
Oppimateriaali ja kirjallisuus 
  • Jurafsky and Martin: Speech and Language Processing

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

 
Oppimista tukevat aktiviteetit ja opetusmenetelmät 

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

 
Arviointimenetelmät ja -kriteerit 
  • Written exam and/or term-paper with peer-review (part I)
  • Oral presentation and/or project report (part II)
  • Standard grading scale (0-5)
 


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