FF:OJ575 Experimental semantics - Course Information
OJ575 Experimental semantics
Faculty of ArtsAutumn 2015
- Extent and Intensity
- 0/2/0. 4 credit(s). Type of Completion: k (colloquium).
- Teacher(s)
- doc. PhDr. Mojmír Dočekal, Ph.D. (lecturer)
- Guaranteed by
- doc. PhDr. Mojmír Dočekal, Ph.D.
Department of Linguistics and Baltic Languages – Faculty of Arts
Contact Person: Mgr. Bc. Blanka Gross Čapková
Supplier department: Department of Linguistics and Baltic Languages – Faculty of Arts - Timetable
- Tue 14:10–15:45 C11
- Prerequisites
- Formal semantics I or at least basic understanding of propositional logic.
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 0/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30 - fields of study / plans the course is directly associated with
- there are 21 fields of study the course is directly associated with, display
- Course objectives
- The goal of the seminar is to teach students how to design their own experiment. Such experiment would be subsequently tested by them on the material of natural language. In order to get there, students will acquire knowledge of some model experiments in current semantics, they will learn basics of statistics and methods for gathering the empirical data. The learned information can be used by the students e.g. when writing their Ba/Ma thesis. The seminar has practical goal -- to acquire a skill, namely to test some hypotheses by statistically controlled experiment.
- Syllabus
- Basics of experimental semantics
- Introduction to statistics
- Statistical program R and programming language S
- Case study: presuppositions of quantifiers in Czech
- Case study: neg-raising in Czech
- Design of own experiment
- Statistical analysis of own experiment
- Literature
- R.H. Baayen: Analyzing Linguistic Data: A Practical Introduction to Statistics using R. Cambridge: Cambridge University Press, 2008.
- Teaching methods
- lectures
- Assessment methods
- final group project
- Language of instruction
- Czech
- Further Comments
- Study Materials
- Enrolment Statistics (Autumn 2015, recent)
- Permalink: https://is.muni.cz/course/phil/autumn2015/OJ575