COURSE UNIT TITLE

: CORPUS LINGUISTICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
DIL 5072 CORPUS LINGUISTICS ELECTIVE 3 0 0 6

Offered By

General Linguistics

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR MIHRIBAN AYDIN

Offered to

General Linguistics

Course Objective

The aim of the course is to create a large and systematic corpus of data to study language use. Research in this field analyzes various texts to understand the structure, usage, and change of language. Holistic linguistics provides in-depth knowledge on topics such as grammar, vocabulary, the role of language in social contexts, and linguistic patterns. Additionally, it finds applications in fields like natural language processing and language technologies.

Learning Outcomes of the Course Unit

1   1. Being able to explain the basic concepts of Discourse Linguistics and define its role in discourse research.
2   2. Being able to distinguish different discourse creation techniques and classify text data.
3   3. Being able to apply statistical and grammatical analysis methods used for discourse analysis.
4   4. Being able to compare Discourse Linguistics with natural language processing, language teaching, and other fields by showing the differences.
5   5. Being able to evaluate the results of discourse research from a critical perspective.
6   6. Being able to develop the necessary skills to design and implement your own discourse projects.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 1 Corpus linguistics the use of corpus linguistics
2 2 Corpus linguistics research methods
3 3 Web scraping techniques for corpus creation
4 4 Corpus searching and corpus cleaning
5 5 Visualization of corpus data
6 6 Phrase analysis
7 7 Collocation structure analysis
8 8 Midterm exam
9 9 Comparative analysis
10 10 Principal component analysis and factor analysis
11 11 Multidimensional scaling analysis
12 12 Cluster analysis
13 13 The future of corpus linguistics research methods
14 14 Evaluation and Discussion
15 15 Review of what has been learned
16 16 Final Exam

Recomended or Required Reading

1. Biber Douglas, Conrad Susan & Reppen Randi. Corpus Linguistics: Investigating Structure and Use. Cambridge: Cambridge University Press, 1998.
2. Meyer, Charles F. English Corpus Linguistics: An Introduction. Cambridge: Cambridge University Press, 2002.
3. McCarthy, D., and Sampson G. Corpus Linguistics: Readings in a Widening Discipline, Continuum, 2005.
4. Facchinetti, R. and Rissanen M. (eds.) Corpus-based Studies of Diachronic English. Bern: Peter Lang, 2006.
5. Facchinetti, R. Theoretical Description and Practical Applications of Linguistic Corpora. Verona: QuiEdit, 2007.
6. Facchinetti, R. (ed.) Corpus Linguistics 25 Years on. New York/Amsterdam: Rodopi, 2007.
7. Lenders, W. Computational lexicography and corpus linguistics until ca. 1970/1980, in: Gouws, R. H., Heid, U., Schweickard, W., Wiegand, H. E. (eds.) Dictionaries An International Encyclopedia of Lexicography. Supplementary Volume: Recent Developments with Focus on Electronic and Computational Lexicography. Berlin: De Gruyter Mouton, 2013.
8. Sandra Kuebler and Heike Zinsmeister. Corpus Linguistics and Linguistically Annotated Corpora. Bloomsbury, 2015.
9. Stefanowitsch A. Corpus linguistics: A guide to the methodology. Berlin: Language Science Press, 2020.
10. Fuß, Eric et al. (Eds.): Grammar and Corpora 2016, Heidelberg: Heidelberg University Publishing, 2018.
11. 2014 2024 Full Text Download of Past Issues of 'Corpus Linguistics'. 2014-2024.

Planned Learning Activities and Teaching Methods

1. Presentation on the subject
2. Lecture/discussion with examples
3. Question and Answer

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.40 + STT * 0.20 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + STT * 0.20 + RST * 0.40


Further Notes About Assessment Methods

None

Assessment Criteria

Learning outcomes 1-4 will be evaluated via midterm exam, individual assignment, final exam.

Language of Instruction

Turkish

Course Policies and Rules

1- 80% class attendance is obligatory.
2- Absence from classes will not be considered as an excuse for late submission of the homework assignments/projects.
3- Cheating and plagiarism attempts in assignments and exams will be evaluated with a 0 (zero) grade.

Contact Details for the Lecturer(s)

mihriban.aydin@deu.edu.tr

Office Hours

Tuesday
Wednesday

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 4 56
Preparation for midterm exam 1 12 12
Preparation for final exam 1 20 20
Preparing assignments 1 14 14
Final 1 3 3
Midterm 1 3 3
TOTAL WORKLOAD (hours) 150

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6
LO.1555
LO.2555
LO.355
LO.4555
LO.5555
LO.65555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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