Topics in Text Linguistics
| Title | Ζητήματα Κειμενογλωσσολογίας / Topics in Text Linguistics |
| Code | ΣΠΓ818 |
| Faculty | Philosophy |
| School | Philology |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter/Spring |
| Common | Yes |
| Status | Active |
| Course ID | 600024818 |
Programme of Study: P.M.S. THEŌRĪTIKĪS, ISTORIKĪS KAI SYGKRITIKĪS GLŌSSOLOGIAS
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| SYGCΗRONES PROSEGGISEIS TĪS GLŌSSAS | Elective Courses belonging to the selected specialization | Winter/Spring | - | 10 |
| ISTORIKĪ GLŌSSOLOGIA KAI GLŌSSIKĪ EPAFĪ | Mandatory Elective Courses | Winter/Spring | - | 10 |
| Academic Year | 2025 – 2026 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600257043
|
Course Type 2021
Specialization / Direction
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600257043
- eLearning:
Erasmus
The course is also offered to exchange programme students.
Learning Outcomes
Upon successful completion of the course, students will be able to:
Identify and explain the core concepts of formal theories of textual cohesion (SDRT, RST, LTAG).
Apply the criteria of these theories to annotate rhetorical relations in texts.
Evaluate the explanatory adequacy of alternative cohesion analyses using empirical corpus data.
Write R code to import, manage, and statistically analyse corpora annotated with textual relations.
Visualise discourse structures as graphs and compute key network-analysis metrics (centrality, communities) with appropriate R packages.
Design and document a small-scale research project that integrates theoretical cohesion analysis with network metrics, presenting their findings in both oral and written form.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Work in teams
- Generate new research ideas
- Advance free, creative and causative thinking
Course Content (Syllabus)
The course addresses central issues in the field of text linguistics, focusing on textual cohesion and coherence. It begins by presenting the main formal discourse semantic theories, e.g., Segmented Discourse Representation Theory (SDRT), Rhetorical Structure Theory (RST) and Lexicalized Tree-Adjoining Grammar (LTAG)—and discusses key theoretical notions such as discourse structure, rhetorical relations and lexical anchors. These theories are then assessed against empirical data from text corpora, with special emphasis on studies that test the explanatory adequacy of the theoretically-driven discourse coherence relations. Finally, the course introduces core concepts of network analysis (graphs, centrality measures, communities) and demonstrates how they can be employed to model and visualise data from corpora annotated with discourse relations.
Keywords
Theories of Discourse Coherence, Coherence, Cohesion, Computational Textual Data Analysis, Data Analysis
Educational Material Types
- Notes
- Slide presentations
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 32.5 | ✓ | ✓ | ||
| Reading Assigment | 100 | ✓ | ✓ | ||
| Written assigments | 115 | ✓ | ✓ | ✓ | |
| Exams | 2.5 | ||||
| Total | 250 |
Student Assessment
Description
Students will present the programming project assigned to them and will subsequently submit a written report describing their workflow and the results of their work.
Student Assessment methods
- Written Assignment (Formative, Summative)
Last Update
06-06-2025
