Introduces computational modelling of natural language processing (NLP). Topics covered include: language modelling, POS tagging, syntactic parsing, statistical parsing, lexical and compositional semantics, and discourse analysis. Introduces the application of machine learning algorithms and NLP for automatic summarisation of text, semantic analysis of sentences and social text analysis. Students will learn machine learning algorithms that are used in natural language processing.
Credit Weight:
0.5
Offering:
3-0; or 3-0
Notes:
This course is restricted to students enrolled in the MSc Computer Science