Course: Corpus Lingusitics and Data Curation

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Course title Corpus Lingusitics and Data Curation
Course code DAS/COR
Organizational form of instruction Exercise + Seminar
Level of course Bachelor
Year of study not specified
Semester Winter and summer
Number of ECTS credits 4
Language of instruction English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Bond Francis Charles, Ph.D.
Course content
1. Intro 2. Markup and Annotation 3. Metadata for Corpus Work 4. Multimodal and Multilingual Corpora 5. A survey of Available Corpora 6. DIY Corpora, Web as Corpus, Processing Raw Text, SQL 7. Statistics (Excel) 8. Encoding, tokenization + CJK Corpora 9. Case Studies (pronouns) 10. The Czech National Corpus 11. Project Presentations 12. Corpora and Language Engineering 13. Conclusion

Learning activities and teaching methods
unspecified
Learning outcomes
This course is an introduction to the fast growing field of corpus linguistics. It aims to familiarise students with key concepts and common methods used in the construction of language corpora, as well as tools that have been developed for searching and using major corpora such as the British National Corpus, Czech National Corpus, and CJK corpora. Students will be given hands-on experience in pre-editing, annotating, and searching corpora. Criteria and methods used for evaluating corpora and analytical tools will also be discussed. This lays the groundwork for research using big data. The main aim of this module is to master the uses of text corpora in linguistics research and data analysis.

Prerequisites
unspecified

Assessment methods and criteria
unspecified
Assignment 1: investigate modality Assignment 2: write/improve a wikipedia page Assignment 3: harvest or analyze data/prompt AI
Recommended literature


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester