Objectives and competences
• to acquire basic knowledge of how to prepare language data for linguistic comparison,
• to use appropriate research methods for the evaluation of language data,
• to use linguistic software tools,
• to understand the importance of the research results in this field for independent study and vocational work,
• to learn to use expressions for special purposes,
• to get acquainted with clear and comprehensible modes in oral and written communication.
Content (Syllabus outline)
Selection of linguistic problems and their quantitative analysis with computer programs.
Types of statistical objects.
Nominal, ordinal and continuous scales.
Preparation of language corpus for statistical computations.
Visualization of statistical data.
Relative numbers.
Mean (Average, Median, Modus).
Variation (standard deviation etc.).
Normal distribution.
Sampling. Selection of parametric and non-parametric test for the evaluation of statistical significance of the differences between language samples.
Learning and teaching methods
• Seminar,
• Tutorial,
• Individual work, working in pairs and groups,
• Method of projection, method of working with pictures, maps and photos, method of observation, method of sample and result assessment.
Intended learning outcomes - knowledge and understanding
On completion of this course the student will be able to:
• translate speech recordings into text annotations
• analyze speech recordings with a program for acoustic phonetics
• search for linguistic patterns in linguistic corpora
• create tables and diagrams of linguistic data with a spreadsheet program,
• prepare language data for linguistic comparison with a spreadsheet program,
• compare language samples according to an assumption
• identify significant differences between linguistic samples with basic statistic tests
• prepare a linguistic experiment with linguistic software.
Intended learning outcomes - transferable/key skills and other attributes
communication skills: writing skills in seminar paper production and homework assignments, oral skills in paper presentation and discussion,
use of information technology: search for linguistic contents in the world wide web, use of special linguistic software and electronic dictionaries and lexicons,
organization skills: to work as team leader during seminars,
solving analytical problems,
to work creatively and flexibly with others as part of a team during seminars.
Readings
Braun, P. 1987: Tendenzen in der deutschen Gegenwartssprache, Verlag W. Kohlhammer, Stuttgart.
Lyons, J. 1989: Einführung in die moderne Linguistik, Verlag C. H. Beck, München.
Meier, H. 1978: Deutsche Sprachstatistik, Georg Olms Verlag, Hildesheim.
Müller, N., Kupisch, T., Schmitz, K., Cantone, K. 2006: Einführung in die Mehrsprachigkeitsforschung, Narr, Tübingen.
Ortmann, W. D. 1976/78: Hochfrequente deutsche Wortformen II, IV, Goethe-Institut, München.
Petz, B. 1985: Osnovne statističke metode za nematematičare, SNL , Zagreb.
Prerequisits
Prerequisits for acceding the course:
None.
Conditions for prerequisits:
Accomplished obligations given during seminar and tutorial.
