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LDA-T3101 Datamodeller för morfologi, 5 sp 
Kod LDA-T3101  Giltighet 01.01.2017 -
Namn Datamodeller för morfologi  Förkortning Datamodeller fö 
Omfattning5 sp   
UndervisningsformFördjupade studier
Klass/KategoriStudieperiod   
  BedömningAllmän skala 
  nej
    Kan genomföras flera gångernej
Ansvarig enhet Magisterprogrammet i språklig diversitet och digitala metoder 

Lärare
Namn
Mathias Creutz 

Beskrivning
Målgrupp 

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.

 

 

 
Timing 

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

 
Kunskapsmål 

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.
 
Studieavsnittets form 
  • 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.
 
Tidigare studier eller kunskaper 
  • 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)
 
Rekommenderade valfria studier 
  • Linguistics in the digital age (MA level)
  • Computational Syntax (MA level)
  • Computational Semantics (MA level)
 
Innehåll 
  • 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.
 
Studiematerial och litteratur 
  • Kenneth Beesley & Lauri Karttunen, Finite State Morphology (CSLI Publications, 2003)
  • Web material and material distributed on the course
 
Aktiviteter och undervisningsmetoder som stöder lärandet 
  • 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).
 
Bedömningsmetoder och kriterier 

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.
 


Pågående och framtida undervisning
Funktioner Namn Typ sp Lärare Tid
anmälningstiden har inte börjat Computational Morphology Computational Morphology  Kurs  Mathias Creutz 
15.01.20 -26.02.20 ons 12.15-13.45
17.01.20 -28.02.20 fre 08.15-09.45

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