FI:PA107 Corpus Tools Project - Course Information
PA107 Corpus Tools Project
Faculty of InformaticsSpring 2022
- Extent and Intensity
- 0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
- Teacher(s)
- doc. Mgr. Pavel Rychlý, Ph.D. (lecturer)
- Guaranteed by
- doc. Mgr. Pavel Rychlý, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: doc. Mgr. Pavel Rychlý, Ph.D.
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics - Timetable
- Mon 14. 2. to Mon 9. 5. Mon 12:00–13:50 C416
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- there are 42 fields of study the course is directly associated with, display
- Course objectives
- The aim of the seminar is to provide students with a deeper knowledge
concerning a chosen area of corpus linguistics and practical checking
of this knowledge by working on the project. The popularisation of
corpus linguistics and other areas of language engineering is one of
the main goals of Natural Language Processing Laboratory at the
Faculty of Informatics.
Fundamental information about the Natural Language Processing Laboratory and corpus linguistics in general can be found on http://www.fi.muni.cz/nlp/. - Learning outcomes
- Student will be able to: create a text corpus from different sources; use automatic tools for corpus annotation; evaluate accuracy of automatic tools; present evaluation results.
- Syllabus
- The aim of the seminar is to provide students with a deeper knowledge concerning a chosen area of corpus linguistics and practical checking of this knowledge by working on the project. The popularisation of corpus linguistics and other areas of language engineering is one of the main goals of Natural Language Processing Laboratory at the Faculty of Informatics.
- Fundamental information about the Natural Language Processing Laboratory and corpus linguistics in general can be found on http://www.fi.muni.cz/nlp/.
- Literature
- OAKES, Michael P. Statistics for corpus linguistics. Edinburgh: Edinburgh University Press, 1998, xvi, 287 s. ISBN 0-7486-0817-6. info
- PALA, Karel, Pavel RYCHLÝ and Pavel SMRŽ. DESAM - Annotated Corpus for Czech. In Proceedings of SOFSEM 97. Heidelberg: Springer Verlag, 1997, p. 523-530. ISBN 3-540-63774-5. URL info
- Corpus processing for lexical acquisition. Edited by Bran Boguraev - J. (James) Pustejovsky. Cambridge: Bradford Book, 1996, xi, 245 s. ISBN 0-262-02392-X. info
- ALLEN, James. Natural language understanding. 2nd ed. Redwood City: Benjamin/Cummings Publishing Company, 1995, xv, 654 s. ISBN 0-8053-0334-0. info
- SINCLAIR, John McHardy. Corpus, concordance, collocation. Edited by Ronald Carter. Oxford: Oxford University Press, 1991, xviii, 179. ISBN 0194371441. info
- Computational lexicography for natural language processing. Edited by Ted Briscoe - Bran Boguraev. London: Longman, 1989, xiv, 310 p. ISBN 0-470-21187-3. info
- Teaching methods
- lectures, work on individual project, personal consultation, presentation
- Assessment methods
- Project. Evaluation based on presentation of project results.
- Language of instruction
- English
- Further Comments
- The course is taught annually.
- Enrolment Statistics (Spring 2022, recent)
- Permalink: https://is.muni.cz/course/fi/spring2022/PA107