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LDA-T3102 Datamodeller för syntax, 5 sp 
Kod LDA-T3102  Giltighet 01.01.2017 -
Namn Datamodeller för syntax  Förkortning Datamodeller fö 
Omfattning5 sp   
UndervisningsformFördjupade studier
  BedömningAllmän skala 
    Kan genomföras flera gångernej
Ansvarig enhet Magisterprogrammet i språklig diversitet och digitala metoder 

Jörg Tiedemann 


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) or in year 2 (semester 3). The course is offered once every year either during the spring term in period III or IV or during the autumn term in period I


After successfully completing the course, you will be able to

  • explain formal grammars in relation to the complexity of natural languages
  • implement sequence-labeling models with application to morphosyntactic tagging and syntactic chunking
  • describe and apply essential algorithms for phrase-structure grammars and dependency parsing
  • explain the role of treebanks for grammar induction and parsing.
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 seminar presentations of relevant literature by students and 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 Morphology (MA level) 
  • Computational Semantics (MA level)
  • Sequence models and hierarchical models
  • Formal grammars and natural languages
  • Language models and syntax
  • Morphosyntactic tagging and chunking
  • Parsing with context-free grammars
  • Treebanks and probabilistic grammars
  • Constraint grammar and dependency grammar
  • Dependency parsing
Studiematerial och litteratur 
  • Jurafsky and Martin: "Speech and Language Processing - An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition" (Prentice Hall}
  • Manning and Schütze: "Foundations of Statistical Natural Language Processing" (MIT Press)
  • Sandra Kübler, Ryan McDonald, and Joakim Nivre: "Dependency Parsing" (Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers)
  • Web material and material distributed in the course
Aktiviteter och undervisningsmetoder som stöder lärandet 
  • There are lectures and exercise sessions.
  • Learning is promoted through hands-on assignments, individual projects or group work
  • 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 practical assignments
  • Performance in project work and presentations (if applicable)
  • Performance in the final exam (if applicable)
  • Activity during lectures and exercise sessions.

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