Corpus Linguistics

Master 2022/2023

Category 'Best Course for Career Development'

Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'

Category 'Best Course for New Knowledge and Skills'

Type: Compulsory course (Applied Linguistics and Text Analytics)

Area of studies: Fundamental and Applied Linguistics

Delivered by: School of Fundamental and Applied Linguistics

Where: Faculty of Humanities (Nizhny Novgorod)

When: 1 year, 2 module

Mode of studies: offline

Open to: students of all HSE University campuses

Instructors: Товкес Мария Юрьевна

Master’s programme: Прикладная лингвистика и текстовая аналитика

Language: English

ECTS credits: 3

Contact hours: 28

Full Syllabus Ask Question

Abstract

This course is aimed to teach students basic terms of corpus linguistics and language corpora being a resource for linguistic analysis. The course presents a survey of existing English-language corpora and teaches the use of variety of corpus tools. The methods and tools of corpus linguistics are also used for the analysis of the sample. The main functions of the programs AntConc, Voyant tools and the text corpora BNC, COCA are demonstrated. Students will get acquainted with the software that allows them to analyze text corpora. During the classes, students will master practical skills of working with corpus tools, in particular, drawing up a search prescription and interpreting search results.

Learning Objectives

Students will learn basic terms, theories of corpus linguistics and the classification of text corpora.
Students will learn how to use AntConc corpus manager, Voyant tools, BNC, COCA and other text corpora.

Expected Learning Outcomes

Formulate the main approaches to understanding corpus linguistics, Formulate the definition of the main terms of corpus linguistics.
Know the basic functions of corpus managers and the principles of text corpora.
Learn how to interpret the results obtained with the help of the mentioned software (corpus managers, text corpora).
Integrate the principles of corpus technologies and data visualization (storytelling in analytics) into research based on the material of various languages.
Organize effective communication in groups in order to conduct a linguistic analysis of empirical material from the point of view of corpus linguistics.
Present the results of group work both orally and in writing to a professional audience.

Course Contents

Introduction to corpus linguistics.
Using AntConc to analyze text corpora.
Using Voyant tools to analyze text corpora.
Working in BNC, COCA.
Storytelling in analytics.
Results, Literature and Materials

Assessment Elements

Test
Project
Practice work
Экзамен

Interim Assessment

2022/2023 2nd module
0.1 * Экзамен + 0.1 * Test + 0.3 * Practice work + 0.5 * Project

Bibliography

Recommended Core Bibliography

Baker, P. (2010). Sociolinguistics and Corpus Linguistics. Edinburgh: Edinburgh University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=324962
Baker, P., Hardie, A., & McEnery, T. (2006). A Glossary of Corpus Linguistics. Edinburgh: Edinburgh University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=169612
Corpora in applied linguistics : current approaches, , 2016
Corpus applications in applied linguistics, , 2012
Corpus linguistics : applications for the study of English, , 2008
Corpus linguistics. Vol.4: Methods and applications, , 2012
McEnery, T., & Hardie, A. (2012). Corpus Linguistics : Method, Theory and Practice. Cambridge: Cambridge University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=408835
The Oxford handbook of computational linguistics, , 2004
The Routledge handbook of corpus linguistics, , 2012
Грудева, Е. В. Корпусная лингвистика : учебное пособие / Е. В. Грудева. — 3-е изд. — Москва : ФЛИНТА, 2017. — 165 с. — ISBN 978-5-9765-1497-3. — Текст : электронный // Лань : электронно-библиотечная система. — URL: https://e.lanbook.com/book/106859 (дата обращения: 00.00.0000). — Режим доступа: для авториз. пользователей.
Иванищева, О. Н., Прикладная лингвистика : учебное пособие / О. Н. Иванищева. — Москва : Русайнс, 2021. — 235 с. — ISBN 978-5-4365-8616-8. — URL: https://book.ru/book/942005 (дата обращения: 25.08.2023). — Текст : электронный.
Шунейко, А. А. Корпусная лингвистика : учебник для вузов / А. А. Шунейко. — Москва : Издательство Юрайт, 2021. — 222 с. — (Высшее образование). — ISBN 978-5-534-13603-6. — Текст : электронный // Образовательная платформа Юрайт [сайт]. — URL: https://urait.ru/bcode/477082 (дата обращения: 28.08.2023).

Recommended Additional Bibliography

A mosaic of corpus linguistics : selected approaches, , 2010
Baker, P. (2009). Contemporary Corpus Linguistics. London: Continuum. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=344364
Corpus linguistics on the move : exploring and understanding English through corpora, , 2016
Sinclair, J. M., & Carter, R. (2004). Trust the Text : Language, Corpus and Discourse. London: Routledge. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=114866
The Cambridge dictionary of linguistics, Brown, K., 2013
Сабиржанов Равшан Анварович. (n.d.). Компьютерная Лингвистика Как Наука Автоматической Обработки Информации. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsclk&AN=edsclk.https%3a%2f%2fcyberleninka.ru%2farticle%2fn%2fkompyuternaya-lingvistika-kak-nauka-avtomaticheskoy-obrabotki-informatsii

Authors

MERKULOVA EDITA NIKOLAEVNA
TOVKES MARIYA YUREVNA

Course Syllabus