UIINK30 Natural Language Processing I

Faculty of Philosophy and Science in Opava
Winter 2019
Extent and Intensity
8/0/0. 4 credit(s). Type of Completion: z (credit).
Teacher(s)
RNDr. Miroslav Langer, Ph.D. (lecturer)
Guaranteed by
RNDr. Miroslav Langer, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Prerequisites (in Czech)
TYP_STUDIA(B)
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
In the introductory part, students get acquainted with the basic concepts of formalized natural language processing such as grammar, semantics, pragmatics, vocabulary. From the application areas, the emphasis is on automatic text indexing and the linguistic problems involved (recognition, lemmatization and grammatical analysis of words and multi-word terms, evaluation of semantic relations between them).
Learning outcomes
Students will be able to:
- define and describe basic terms such as grammar, semantics, pragmatics, vocabulary;
- analyze linguistic problems that arise in automatic text indexing;
Syllabus
  • 1. General background and context. Vocabulary, grammar, semantics (definition and mutual relations of terms).
  • 2. Overview of the main application areas (automatic indexing, thesaurus generation, automatic referencing, database/robot / expert system communication, etc., machine and computer-aided translation, data/knowledge bases filling, automated text correction). Connection with other computer science fields.
  • 3. Linguistic problems of automatic text indexing. Recognize and determine the relevance of terms.
  • 4. Solving the problem of morphology. Semantic relations between terms and possibilities of their use. Homonymity problems.
  • 5. Automation of thesaurus creation and maintenance. Thesaurus as a data structure (implementation by a suitable type of database system).
  • 6. Automating the acquisition of relevant vocabulary. Automation of finding semantic relationships between terms.
Literature
    required literature
  • Strossa. Počítačové zpracování přirozeného jazyka. Praha, 2011. ISBN 978-80-245-1777-3. info
    recommended literature
  • UHRÍN, Tibor. Přirozený jazyk a umělý jazyk. Inflow: information journal [online]. 2008, roč. 1, č. 11 [cit. 2013-04-28]. Dostupný z: http://www.inflow.cz/prirozeny-jazyk-umely-jazyk. ISSN 1802-9736
  • Laboratoř zpracování přirozeného jazyka. Stručný terminologický slovník počítačové lingvistiky [online]. [cit. 2014-04-29]. Dostupné z: http://nlp.fi.muni.cz/cs/terminologie
Teaching methods
Interactive lectures,
Lectures with discussion
Assessment methods
Credit:
Active participation in exercises min. 75%, written test
Language of instruction
Czech
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Information on the extent and intensity of the course: Přednáška 8 HOD/SEM.
The course is also listed under the following terms Winter 2020, Winter 2021, Winter 2022, Winter 2023, Winter 2024.
  • Enrolment Statistics (Winter 2019, recent)
  • Permalink: https://is.slu.cz/course/fpf/winter2019/UIINK30