Natural Language Processing

Course Code: 
Winter Semester
Credit Points: 

Course outline

First Part

  • Introduction to the use of techniques and algorithms for effective processing and analysis of the natural language
  • Techniques for the analysis and the morphosyntactic processing of text
  • Syntax analysis
  • Semantic analysis
  • Pragmatic analysis
  • Methods for the representation of textual data
    Effective data indexing methods
  • Design and use of indexes and lexical resources
    Analysis and knowledge extraction from collections of textual data


Second Part

  • Techniques and algorithms for semantic disambiguation
  • Clustering and thematic categorization
    Principles of question answer systems
    Semantic text representation, Vector Space Model
    Techniques for the Automatic summarization of text,
    Machine translation.

Third Part

  • Techniques for the classification of textual data.

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