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Näytä opetus ja tentit
LDA-T3101 Laskennallinen morfologia, 5 op 
Tunniste LDA-T3101  Voimassaolo 01.01.2017 -
Nimi Laskennallinen morfologia  Lyhenne Laskennallinen 
Laajuus5 op   
OpiskelumuotoSyventävät opinnot
LajiOpintojakso   
  ArvosteluYleinen asteikko 
  ei
    Voidaan suorittaa useastiei
Vastuuyksikkö Kielellisen diversiteetin ja digitaalisten menetelmien maisteriohjelma 

Opettajat
Nimi
Mathias Creutz 

Kuvaus
Kohderyhmä 

The course belongs to the MA Programme Linguistic Diversity in the Digital Age

  • study track: language technology
  • modules: Studies in Language Technology (LDA-T3100), Essentials in Language Technology (LDA-TA500), Comprehensive specialization in Language Technology (LDA-TB500)

This is an obligatory course for students of the study track in language technology, and elective for students of modules LDA-TA500 and LDA-TB500 

The course is available to students from other study tracks and degree programmes.

 

 

 
Ajoitus 

Students are advised to take this course in year 1 (semester 2). The course is offered every year during the spring term in period III or IV

 
Osaamistavoitteet 

After successfully completing the course

  • you can explain basic theory on finite-state automata and transducers,
  • you are able to design morphological lexica using finite-state technology,
  • you know how to write morpho-phonological rules in a finite-state framework,
  • you can apply machine learning methods to building models of morphology,
  • you understand the diversity of morphological structure in different languages and you know how to take these differences into account when designing computational models of morphology.
 
Toteutus 
  • The course comprises lectures and individual exercises.
  • You also complete your own project work, which you document and present in class.
  • Additionally, there may be a final exam.
  • Some sessions require student attendance.
 
Edeltävät opinnot tai edeltävä osaaminen 
  • Morphology and syntax or equivalent (BA level)
  • Programming for linguists or equivalent (BA level)
  • Mathematics for linguists or equivalent (BA level)
  • Machine learning for linguists or equivalent (BA level)
 
Suositeltavat valinnaiset opinnot 
  • Linguistics in the digital age (MA level)
  • Computational Syntax (MA level)
  • Computational Semantics (MA level)
 
Sisältö 
  • This course teaches you models and methods for automatic morphological analysis and generation. Different frameworks will be studied, such as rule-based finite-state technology and supervised and unsupervised learning of morphology.
  • The diversity of morphological structure in different languages is demonstrated together with suggestions on how to take these differences into account when designing computational models of morphology.
 
Oppimateriaali ja kirjallisuus 
  • Kenneth Beesley & Lauri Karttunen, Finite State Morphology (CSLI Publications, 2003)
  • Web material and material distributed on the course
 
Oppimista tukevat aktiviteetit ja opetusmenetelmät 
  • There are lectures and exercise sessions.
  • Learning is promoted through hands-on assignments, such as pre-planned exercises and a project work that can be tuned towards the student’s own interests.
  • Exercises, instructions and additional course material are published on a web-based learning platform (Moodle).
 
Arviointimenetelmät ja -kriteerit 

Grading follows the standard scale 0 – 5.

The following aspects are taken into account in grading

  • Performance in the exercises
  • Performance in the project work
  • Performance in the final exam
  • Activity during lectures and exercise sessions.
 


Meneillään oleva ja tuleva opetus
Toiminnot Nimi Tyyppi op Opettaja Aikataulu
Ilmoittautumiseen Computational Morphology Computational Morphology  Kurssi  Mathias Creutz 
15.01.20 -26.02.20 ke 12.15-13.45
17.01.20 -28.02.20 pe 08.15-09.45

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