Бакалавриат
2025/2026
Научно-исследовательский семинар "Цифровые инструменты и искусственный интеллект в прикладной лингвистике"
Статус:
Курс обязательный (Иностранные языки и межкультурная коммуникация)
Кто читает:
Школа иностранных языков
Где читается:
Школа иностранных языков
Когда читается:
2-й курс, 1-3 модуль
Охват аудитории:
для своего кампуса
Язык:
английский
Кредиты:
3
Контактные часы:
50
Course Syllabus
Abstract
The course will introduce students to the basics of text studies and to acquaint them with digital instruments that can be used for text analysis and text compression. Students will undertake detailed, language-focused, contextually sensitive analyses of a wide range of texts – spoken, written and multimodal. Students will learn how digital tools and artificial intelligence can assist their research endeavours and help them describe research backgrounds and outcomes in line with the requirements of academic discourse.
Learning Objectives
- •familiarize students with fundamental concepts and methodologies in text studies;
- • explore different types of texts, including spoken, written, and multimodal;
- • guide students in describing research backgrounds and outcomes following academic discourse standards;
- • emphasize the importance of clear, concise, and coherent presentation of research findings;
- • equip students with the skills necessary to conduct independent research using digital tools;
- • support students in developing their research projects from inception to completion, using digital instruments effectively.
Expected Learning Outcomes
- utilize AI tools to tailor texts for specific target audiences
- identify the basic principles, concepts and methods used to analyze text structure, meaning, and discourse patterns
- utilize AI tools to perform tasks of basic text analysis and linguistic analysis
- evaluate the differences between conventional methods and AI-driven approaches
- examine and use text analysis across various linguistic levels including phonological, morphological, syntactic, semantic, and pragmatic dimensions
- evaluate different text metrics using AI for various purposes
- compose academic texts in various styles using appropriate features
- use digital tools and AI for efficient information and data searches, and manage and cite research sources with reference managers
- ensure academic texts are coherent and cohesive through thorough editing and proofreading
- design and produce clear and effective data visualizations for academic presentations
Course Contents
- Introduction to AI
- Algorithms and Techniques of NLP
- Big Language Models in Corpus Linguistics
- Ethics of AI in Language Technologies
- Information Credibility and Fact-Checking in the AI Era
- Effective Prompt Engineering Techniques
- AI and Language – Questions That Matter
- AI for Speech and Graphological Analysis
- Readability and Reader Engagement Analysis
- Semantic Fields and Cultural Perspectives in Text
- Information Extraction and Information Density
- Sentiment, Tone, and Emotional Coloring
- Coherence and Cohesion in Texts (T.E.R.A. Approach)
- Applied AI Text Analysis
- Academic Research Writing and Scientific Style
- Academic Data Search and Referencing Tools
- Research Topic and Design Development
- Crafting the Introduction and Identifying Research Gaps
- Literature Review and AI Tools for Source Analysis
- Methodology and Data Collection Principles
- Results, Discussion, and Research Summary
- Academic Presentation and Visualization Techniques
Assessment Elements
- Discussion
- Quiz
- LMS Portfolio
- Pitch
- Project
- Guidance Note
- Written Work
- Final Project Defence
Interim Assessment
- 2025/2026 2nd module0.2 * Discussion + 0.1 * Guidance Note + 0.15 * LMS Portfolio + 0.15 * Pitch + 0.2 * Project + 0.2 * Quiz
- 2025/2026 3rd module0.25 * Discussion + 0.25 * Final Project Defence + 0.15 * LMS Portfolio + 0.15 * Quiz + 0.2 * Written Work
Bibliography
Recommended Core Bibliography
- A creator's guide to transmedia storytelling : how to captivate and engage audiences across multi..., Phillips, A., 2012
- A short history of structural linguistics, Matthews, P. H., 2001
- Academic writing : a handbook for international students, Bailey, S., 2011
- Academic writing for graduate students : essential tasks and skills, Swales, J. M., 2012
- Digital storytelling : capturing lives, creating community, Lambert, J., 2013
- From language to creative writing : an introduction, Seargeant, P., 2013
- Genre analysis: English in academic and research settings, , 1990
- Key concepts in creative writing, Morrison, M., 2010
- Languaging diversity : identities, genres, discourses, , 2015
- Lexical meaning in context : a web of words, Asher, N., 2012
- Meaning in language : an introduction to semantics and pragmatics, Cruse, A., 2011
- Meaning in linguistic interaction : semantics, metasemantics, philosophy of language, Jaszczcolt, K.M., 2016
- Qualitative text analysis : a guide to methods, practice & using software, Kuckartz, U., 2014
- Storytelling techniques for digital filmmakers : plot structure, camera movement, lens selection,..., Hockrow, B., 2014
- Words and meanings : lexical semantics across domains, languages , and cultures, Goddard, C., 2014
- Words, meaning and vocabulary : an introduction to modern English lexicology, Jackson, H., 2011
Recommended Additional Bibliography
- 50 steps to improving your academic writing : study book, Sowton, C., 2012
- Text analysis for the social sciences : methods for drawing statistical inferences from texts and transcripts, , 1997