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Lecturer(s)
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Pořízka Petr, PhDr. Ph.D.
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Course content
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unspecified
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Learning activities and teaching methods
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Lecture, Dialogic Lecture (Discussion, Dialog, Brainstorming), Work with Text (with Book, Textbook), Demonstration
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Learning outcomes
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The aim of the course is to introduce the use of qualitative-quantitative methods of analysis of the text to lead students to apply and use these methods for a comprehensive and exact analysis based on quantification (quantitative data). Selected software tools (including so-called query languages) will be presented for these purposes as well as corpus databases that can serve as an extensive and structured source of authentic language data. During the course, students will be guided to acquire the basic terminology of the field, theories and methods for effective work with language data.
After completing the course, the student will be able to make use of language databases (so-called corporates), especially from the Czech National Corpus (CNB) portal, will adopt the most important data mining tools and procedures, and will be able to build and evaluate his own small corpus of language data for special purposes.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Analysis of Activities ( Technical works), Seminar Work
(1) Participation in tutorials (2) Fulfillment of correspondence tasks (homeworks) (3) Seminar project
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Recommended literature
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Sketch Engine User Guide.
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Baker, P. - Hardie, A. - McEnery, T. (2006). A Glossary of Corpus Linguistics. Edinburgh.
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Machálek, T. (2018). KonText - rozhraní pro vyhledávání v korpusech. Praha.
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Pořízka, P. (2014). Tvorba korpusů a vytěžování jazykových dat (metody, modely, nástroje). Olomouc.
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