Language technology resources

About this programme

No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students. The purpose of this course is to give a further introduction to algorithmic resources for language technology. The purpose of this course is to give a further introduction to algorithmic resources for language technology such as algorithms for word sense induction and disambiguation, learning algorithm and classification of sentences. Language technology resources, such as corpora, lexicons, syntax and text as well as language models will be discussed in connection with relevant algorithms. - LT2001 Introduction to programming 7.5 credits - LT2002 Introduction to formal linguistics 7.5 credits - LT2003 Natural language processing, 15 credits (or LT2123 Basic skills for language technology, 7.5 credits together with LT2124 Themes in NLP and language technology, 7.5 credits) - LT2212 Statistical methods 7.5 credits (or LT2222 Machine learning for statistical NLP: introduction 7.5 credits) Selection is based upon the number of credits from previous university studies, maximum 165 credits. The Faculty of Humanities is located in the Humanisten building at Renströmsgatan 6. The Department of Philosophy, Linguistics and Theory of Science has its premises on the 5th floor. Both the Faculty of Humanities and the adjacent Humanities Library offer several study areas and group rooms.