PB106 Corpus Linguistic Project I

Faculty of Informatics
Autumn 2012
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
prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Thu 8:00–9:50 B411
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
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/.
Syllabus
  • theme introduction: text corpora, parallel corpora, annotation, statistics, user interfaces
  • project selection
  • work on a project
  • presentation of project results and discussion
Literature
  • 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
  • Natural language parsing : methods and formalism : ACL/SIGPARSE Workshop : proceedings of the sixth Twente Workshop on Language Technology. Edited by Anton Nijholt - Klaas Sikkel. Enschede: Universiteit Twente, 1993, 190 s. info
Teaching methods
lectures, work on individual project, personal consultation, presentation
Assessment methods
Project. Evaluation based on presentation of project results.
Language of instruction
Czech
Follow-Up Courses
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2012, recent)
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