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, 7.5 credits in computer programming and 7.5 credits in logic/discrete mathematics. Knowledge of English equivalent to what is required for entry to Swedish first-cycle courses and study programmes.

Learning outcomes

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

1. explain the standard models and algorithms used in phrase structure and dependency parsing;
2. implement and evaluate some of these techniques;
3. critically evaluate scientific publications in the field of syntactic parsing;
4. design, evaluate, or theoretically analyse the syntactic component of an NLP system, with a certain degree of independent creativity, clearly stating and critically discussing methodological assumptions, applying state-of-the-art methods for evaluation, and presenting the result in a professionally adequate manner.

Content

The course provides an advanced overview of natural language parsing algorithms and of methods to evaluate their performance.

Instruction

The teaching consists of lectures, seminars and laboratory sessions under supervision.

Assessment

The course is examined through written assignments (U/G/VG) and seminar presentations (U/G). The teacher may require compulsory attendance and active participation in seminars as part of the examination.

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.