Course detail

Natural Language Processing

FIT-ZPDAcad. year: 2010/2011

Not applicable.

Language of instruction

Czech

Number of ECTS credits

0

Mode of study

Not applicable.

Guarantor

doc. RNDr. Pavel Smrž, Ph.D.

Department

Department of Computer Graphics and Multimedia (UPGM)

Learning outcomes of the course unit

Not applicable.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Not applicable.

Specification of controlled education, way of implementation and compensation for absences

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

  • Allen, J., Natural language understanding. 2nd ed. Redwood City : Benjamin/Cummings Publishing Company, 1995. ISBN 0-8053-0334-0.
  • Manning, C. D., Schütze, H., Foundations of Statistical Natural Language Processing, MIT Press, 1999, ISBN 0-262-13360-1.

Recommended reading

  • Hajičová, E., Panevová, J., Sgall, P., Úvod do teoretické a počítačové lingvistiky, sv. I., Teoretická lingvistika, Praha: Karolinum, 2002, ISBN 8024604701.
  • Mařík,V., Štěpánková,O., Lažanský, J. a kol.: Umělá inteligence (4), ACADEMIA Praha, 2003, ISBN 80-200-1044-0.

Classification of course in study plans

  • Programme VTI-DR-4 Doctoral

    branch DVI4 , any year of study, winter semester, elective

  • Programme VTI-DR-4 Doctoral

    branch DVI4 , any year of study, winter semester, elective

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer

doc. RNDr. Pavel Smrž, Ph.D.

Syllabus

  1. Advanced methods of  text categorization, document similarity
  2. Morphological analysis, inflective and derivational morphology, trie structure for dictionaries
  3. Methods of syntactic analysis for language modeling
  4. Probabilistic context-free analysis, automatic alignment, machine translation
  5. Lexical semantics, dictionaries vs. encyclopedias, compositionality
  6. The Semantic Web technologies, ontologies, OWL