Natural Language Processing

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.