Practical natural language processing

Utbildningsfakta

Kod: LT2114

This course gives a practical introduction to different problems encountered within natural language processing, and some solutions. Students will gain practical experience in programming while solving these problems. The course is divided into four main topics: one covering basic concepts and three covering subfields of NLP – words, syntax or morphology and semantics/pragmatics. 1\. Basic concepts: Basic concepts in NLP.<br> Automata theory and mathematical linguistics.<br> Probability theory and machine learning.<br> Evaluation measurement, correctness, precision, and recall.<br> 2\. Words: Corpora and corpus annotation.<br> Finite-state methods for segmentation and morphological analysis.<br> Statistical language modeling with n-gram markov models.<br> 4\. Syntax: Part-of-speech tagging and chunking/partial parsing, making use of methods within machine learning or/and finite-state technology.<br> Common formal grammars, such as feature based and probabilistic context-free grammars.<br> Syntactic parsing.<br> 5\. Semantics and Pragmatics: Lexical semantics, lexica, Wordnet and FrameNet.<br> Word sense disambiguation with machine learning.<br> Text classification with machine learning.

Behörighet

Successful completion of at least 7.5 credits in programming courses such as: Programming, DIT948; Imperative Programming with Basic Object-orientation, DIT012; Functional programming, DIT142; Introduction to programming, LT2111; or equivalent.

Utbildningstillfällen

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

• Practical natural language processing

  University of Gothenburg

  Startdatum: 5 november 2025

  Slutdatum: 18 januari 2026

  Studietakt: 50 %