IB047 Introduction to Corpus Linguistics and Computer Lexicography

Faculty of Informatics
Spring 2022
Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
doc. Mgr. Pavel Rychlý, Ph.D. (lecturer)
prof. PhDr. Karel Pala, CSc. (alternate examiner)
RNDr. Miloš Jakubíček, Ph.D. (assistant)
Guaranteed by
doc. Mgr. Pavel Rychlý, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: prof. PhDr. Karel Pala, CSc.
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Fri 18. 2. to Fri 13. 5. Fri 10:00–11:50 C511
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 68 fields of study the course is directly associated with, display
Course objectives
A basic introduction to the field of corpus linguistics and computational lexicography. Students will study types of corpora, corpus building and usage, especially in the sake of dictionaries building.
Learning outcomes
Student will be able to: choose the right korpus type for specific purpose; interpret all layers of corpus annotation; use statistical methods on text corpora; design the structure of a dictionary; use free tools for dictionary writing.
Syllabus
  • Information technologies and language (text) corpora. Beginning of corpus linguistics, purpose of corpora.
  • Corpus data, corpus types and their standardization, SGML, XML, TEI, CES. Annotated corpora, tagging on various levels: structural tagging, grammatical tagging -- POS, lemmata, word forms. Syntactic tagging, treebanks, skeleton analysis. Parallel corpora, alignment. Tools for automatic and semi-automatic annotation, disambiguation.
  • Building corpora, maintenance. Corpus tools: corpus manager. Concordance programmes. Queries, regular expressions and their use. Statistical programmes, absolute and relative frequencies, MI and T-score. Work with corpus attributes and tags.
  • Working with corpora -- CNC, SUSANNE, Prague Dependency Treebank
  • Words, constructions, collocations.
  • Computational lexicography, lexicology.
  • Descripton of meanings (semantic features).
  • Types of computer dictionaries. Lexicography standards.
  • Data for dictionary building -- corpora.
  • Lexicography Software tools. Lemmatizers.
Literature
    recommended literature
  • ATKINS, B. T. S. and Michael RUNDELL. The Oxford guide to practical lexicography. 1st pub. Oxford: Oxford University Press, 2008, xii, 540. ISBN 9780199277704. info
    not specified
  • Practical lexicography : a reader. Edited by Thierry Fontenelle. New York: Oxford University Press, 2008, vii, 405. ISBN 9780199292349. info
  • SAMPSON, Geoffrey. English for the computer : the SUSANNE corpus and analytic scheme. Oxford: Clarendon Press, 1995, ix, 499. ISBN 0198240236. info
  • RYCHLÝ, Pavel. Korpusové manažery a jejich efektivní implementace. Brno, 2000, xiv, 128. info
  • SAMPSON, Geoffrey. Empirical linguistics. London: Continuum, 2001, viii, 226. ISBN 0-8264-4883-6. 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
Teaching methods
Teaching is performed in the form of oral lectures and seminars, in which the slides and demos of the relevant software tools are combined. Students work out homeworks, prepare presentations based on the literature they had read and develop smaller projects. At the appropriate points of the teaching the open dialog between a teacher and students is used.
Assessment methods
written exam
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 Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Spring 2022, recent)
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