Breadcrumb

Themes in NLP and language technology

Course
LT2124
Master’s level
7.5 credits (ECTS)

About

This course is about getting a wide view of the field of natural language processing.  Included are a selection of application areas of current and historical interest chosen by the instructor, such as machine translation or text summarization, with hands-on activities and conceptual background.

Prerequisites and selection

Requirements

Students with an undergraduate degree (at least three year full-time study) in language technology, computational linguistics or computer science; linguistics (with at least 30 hec, corresponding to half a year full-time study, informal linguistics); adjacent subjects, eg. cognitive science, languages, philosophy or mathematics can also be considered, provided that the student can show a background in either programming or formal linguistics corresponding to 30 hec, half a year full-time study; or a certificate from the department that your qualifications are equivalent. The course language is English. To provide the requirement in English by an internationally recognized test, for example TOEFL, IELTS, the English proficiency should be equivalent to the level of English 5/English Course A from Swedish Upper Secondary School.