.
Corpus Analysis
Study Course Description
Course Description Statuss:Approved
Course Description Version:4.00
Study Course Accepted:02.02.2024 12:25:39
| Study Course Information | |||||||||
| Course Code: | KF_057 | LQF level: | Level 7 | ||||||
| Credit Points: | 2.00 | ECTS: | 3.00 | ||||||
| Branch of Science: | Communication Sciences; Communication Theory | Target Audience: | Social Anthropology; Pedagogy; Management Science; Information and Communication Science; Political Science; Psychology; Public Health; Social Welfare and Social Work; Communication Science; Business Management; Law; Sociology; Juridical Science | ||||||
| Study Course Supervisor | |||||||||
| Course Supervisor: | Sergejs Kruks | ||||||||
| Study Course Implementer | |||||||||
| Structural Unit: | Faculty of Social Sciences | ||||||||
| The Head of Structural Unit: | |||||||||
| Contacts: | Dzirciema street 16, Rīga, szf rsu[pnkts]lv | ||||||||
| Study Course Planning | |||||||||
| Full-Time - Semester No.1 | |||||||||
| Lectures (count) | 6 | Lecture Length (academic hours) | 2 | Total Contact Hours of Lectures | 12 | ||||
| Classes (count) | 4 | Class Length (academic hours) | 2 | Total Contact Hours of Classes | 8 | ||||
| Total Contact Hours | 20 | ||||||||
| Study course description | |||||||||
| Preliminary Knowledge: | Not required. | ||||||||
| Objective: | Learn to work with Latvian language corpora and interpret meaning of lexical units in large texts. | ||||||||
| Topic Layout (Full-Time) | |||||||||
| No. | Topic | Type of Implementation | Number | Venue | |||||
| 1 | The concept of Corpus. Statistic regularity of language use. Sketch Engine programme. | Lectures | 1.00 | auditorium | |||||
| 2 | Word frequency. Data normalization and relative frequency. | Lectures | 1.00 | auditorium | |||||
| 3 | Statement of a language use research problem, selection of key words. | Classes | 1.00 | computer room | |||||
| 4 | Word frequency (cntd.). Concordance. | Lectures | 1.00 | auditorium | |||||
| 5 | Collocation. Statistical analysis (MI-, MS-, t-scores) | Lectures | 1.00 | auditorium | |||||
| 6 | Defining meaning of words: dictionary and corpus. | Classes | 1.00 | computer room | |||||
| 7 | Collocation (cntd.). Statistical analysis (logDice). | Lectures | 1.00 | auditorium | |||||
| 8 | Corpus statistics (Pearson's chi-squared test, Cramer's V, Residuals) | Lectures | 1.00 | auditorium | |||||
| 9 | Collocation of the researched words: qualitative and quantitative analysis. | Classes | 1.00 | computer room | |||||
| 10 | Presentation and discussion of researh paper. | Classes | 1.00 | computer room | |||||
| Assessment | |||||||||
| Unaided Work: | Interpretation of meaning of essentially contested notions in the student's major discipline using Latvian language corpora. In order to evaluate the quality of the study course as a whole, the student must fill out the study course evaluation questionnaire on the Student Portal. | ||||||||
| Assessment Criteria: | Knows the corpora, identifies a research problem, formulates a hypothesis, selects key words, extracts and interprets collocations and concordances, extracts and process statistical data, formulates conclusions. Independent work, participation in classes, exam. | ||||||||
| Final Examination (Full-Time): | Exam (Written) | ||||||||
| Final Examination (Part-Time): | |||||||||
| Learning Outcomes | |||||||||
| Knowledge: | students are able to recognize principles of meaning, basic difference between paradigms of meaning; principles of making and using language corpora. | ||||||||
| Skills: | Students can use Sketch Engine programme, find words frequencies, concordance and collocations, extract statistical data of language use, interpret data qualitatively and quantitatively. | ||||||||
| Competencies: | Students formulate a problem in the field of their professional interests as a problem of language use, advances a hypothesis, extracts and interprets quantitative and qualitative data, formulates conclusions and recommendations. | ||||||||
| Bibliography | |||||||||
| No. | Reference | ||||||||
| Required Reading | |||||||||
| 1 | Kruks, S., I. Skulte. (2016). „Politikas izzušana Saeimas diskursā”. Latvijas Zinātņu akadēmijas Vēstis: 49-56. | ||||||||
| 2 | Kruks, S. (2020). “Uzticības, sadarbības un vienotības konceptu izpratne Nacionālajā attīstības plānā 2021.-2027. gadam”. Akadēmiskā Dzīve 56: 131-147. | ||||||||
| 3 | McEnery, Tony and Andrew Hardie. (2012). Corpus Linguistics. Method, Theory and Practice. Oxford: Oxford University Press. | ||||||||
| 4 | Paquot, M. and S. Gries. (2020). Practical Handbook of Corpus Linguistics. Springer. | ||||||||
| Additional Reading | |||||||||
| 1 | Barczewska, Shala. (2017). Corpus-Based Analysis of US Press Discourse. Cambridge Scholars Publisher. | ||||||||
| 2 | Cunningham, Clark D. and Jesse Egbert. (2020). Analyzing legal discourse in the United States. Pp. 462-480 in Friginal E., Hardy J. (eds) The Routledge Handbook of Corpus Approaches to Discourse Analysis. London: Routledge. | ||||||||
| 3 | Darģis, R., G. Rābante-Buša, I. Auziņa, S. Kruks. (2016). „ParliSearch – a system for large text corpus discourse analysis”. Pp. 115-121 in I. Skadiņa, R. Rozis (eds) Human Language Technologies – The Baltic Perspective. IOS Press. | ||||||||
| 4 | Gerring, J. (1999). "What Makes a Concept Good? A Criterial Framework for Understanding Concept Formation in the Social Sciences". Polity, Vol.31, No.3, (Spring), pp. 357–393. | ||||||||
| 5 | Kaal, B., I. Maks and A. van Elfrinkhof. (2014). From Text to Political Positions. Amsterdam: John Benjamins. | ||||||||
| 6 | Marmor, Andrei and Scott Soames. (2011). Philosophical Foundations of Language and Law. Oxford: Oxford University Press. | ||||||||
