Entry requirements

A Bachelor's degree and (1) 60 credits in language technology/computational linguistics, or (2) 60 credits in computer science, or (3) 60 credits in a language subject, 15 credits in computer programming and 7.5 credits in logic/discrete mathematics. Proficiency in English equivalent to the general entry requirements for first-cycle (Bachelor's level) studies.

Learning outcomes

For the grade Pass, after completing the course the student should be able to

• account for important methodological considerations behind collection, selection and use of linguistic data in language technology
• apply and account for basic probability theory and principles of statistical inference on such data
• account for and apply statistical language models and different methods for regularisation
• apply regular expressions to language technology problems
• implement simple statistical models of classification and annotation of symbol sequences, particularly in systems for morphological analysis and tagging of natural language, and evaluate such systems
• account for and implement algorithms for syntactic parsing and disambiguation, and adapt and evaluate such systems for selected languages
• account for and implement language technology methods that capture and/or classify the contents of natural language text, and account for how such systems can be evaluated
• present the results of these kinds of language technology tasks in a professionally adequate way both orally and in writing.

Content

The course provides an overview of the field of language technology with a focus on basic techniques and the use of linguistic data and statistical models in language technology.

Instruction

The teaching is given as lectures and laboratory sessions under supervision.

Assessment

Assessment is based on written assignments and seminars with presentations and discussions. Details of the examination, including dates for seminars, are given at the start of the course.

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the University's disability coordinator.