SubjectsSubjects(version: 944)
Course, academic year 2023/2024
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Theory of Statistical Analysis in R for Linguists - NPFL137
Title: Teoretické základy statistického vyhodnocování jazykových dat v R
Guaranteed by: Institute of Formal and Applied Linguistics (32-UFAL)
Faculty: Faculty of Mathematics and Physics
Actual: from 2023
Semester: summer
E-Credits: 2
Hours per week, examination: summer s.:2/0, Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: not taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Guarantor: Mgr. Silvie Cinková, Ph.D.
Class: DS, matematická lingvistika
Informatika Mgr. - Matematická lingvistika
Classification: Informatics > Computer and Formal Linguistics
Incompatibility : NPFL111
Interchangeability : NPFL111
Is incompatible with: NPFL111
Is interchangeable with: NPFL111
Annotation -
Last update: RNDr. Jiří Mírovský, Ph.D. (12.05.2022)
More advanced students of corpus linguistics, who have already participated in any basic corpus linguistic seminar, can use this course to deepen their competence in statistical data analysis. The course focuses on the statistical theory (in particular issues of corpus linguistics and specific distributions of language data) as well as on relevant computational skills for data analytics using R. The course requires common computer user skills (no explicit programming background).
Course completion requirements -
Last update: Mgr. Silvie Cinková, Ph.D. (22.05.2023)

active participation in the lessons (max 3 absences)

Any individual exceptions are up to the teachers.

Literature -
Last update: RNDr. Jiří Mírovský, Ph.D. (12.05.2022)

Baayen, H. R.: Analyzing Linguistic Data, Cambridge University Press, Cambridge 2008.

Baayen, H. R.: Word Frequency Distributions. Kluwer Academic Publishers. Dordrecht/Boston/London 2010.

Bartoň, T. - Cvrček, V. - Čermák, F. - Jelínek, T. - Petkevič, V. (2009): Statistiky češtiny. Nakladatelství Lidové

noviny, Praha 2009.

Gries, S. Th.: Quantitative Corpus Linguistics with R, Routledge 2009.

Gries, S. Th.: Statistics for Linguistics with R. A Practical Introduction. Mouton De Gruyter 2013 (2nd revised edition).

Oakes, M. P.: Statistics for Corpus Linguistics. Edinburgh University Press, Edinburgh 1998.

Volín, J. (2007): Statistické metody ve fonetickém výzkumu. Praha: Epocha.

Syllabus -
Last update: Mgr. Silvie Cinková, Ph.D. (22.05.2023)

1. Typical topics of corpus studies, relevance of quantitative methods in linguistics, hypothesis formulation

2. Descriptive statistics - central tendency, dispersion

3. Types of pobability distributions

4. Inferential statistics

5. Correlation and regression

6. Factor analysis and clustering methods


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