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.
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
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.
- 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.
- 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)
|Recommended optional studies
- Linguistics in the digital age (MA level)
- Computational Syntax (MA level)
- Computational Semantics (MA level)
- 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.
|Study materials and literature
- Kenneth Beesley & Lauri Karttunen, Finite State Morphology (CSLI Publications, 2003)
- Web material and material distributed on the course
|Activities and teaching methods in support of learning
- 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).
|Assessment practices and criteria
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.