HUMAN LANGUAGE TECHNOLOGIES AND DIGITAL HUMANITIES
| Title | ΓΛΩΣΣΙΚΕΣ ΤΕΧΝΟΛΟΓΙΕΣ ΚΑΙ ΨΗΦΙΑΚΕΣ ΑΝΘΡΩΠΙΣΤΙΚΕΣ ΕΠΙΣΤΗΜΕΣ / HUMAN LANGUAGE TECHNOLOGIES AND DIGITAL HUMANITIES |
| Title in German | Sprachtechnologie und Digitale Geisteswissenschaften |
| Code | ΑΚ0269 |
| Faculty | Philosophy |
| School | German Language and Literature |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter/Spring |
| Common | Yes |
| Status | Active |
| Course ID | 600024577 |
Programme of Study: PPS Tmīmatos Germanikīs Glṓssas kai Filologías (2020-sīmera)
Registered students: 12
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | EPILEGOMENA EIDIKEUSĪS | Spring | - | 6 |
| Academic Year | 2024 – 2025 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 2 |
| Total Hours | 26 |
| Class ID | 600253358
|
Course Type 2021
Specialization / Direction
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600253358
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
Upon successful completion of the course, students will:
- get acquainted with the basic concepts of the interdisciplinary field
- acquire new skills in emerging technologies
- become aware of the advantages of integrating linguistic technology and humanities studies
- familiarise themselves with the methods and practices of the interdisciplinary field
- be able to select the appropriate methods and tools for the intended applications.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work autonomously
- Work in an international context
- Work in an interdisciplinary team
- Appreciate diversity and multiculturality
- Demonstrate social, professional and ethical commitment and sensitivity to gender issues
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
This is an introductory course to the inter-disciplinary field that combines Computational Linguistics and Natural Language Processing with Humanities and social sciences. The course is organized into the following units:
1. Introduction: Language Technology in Digital Humanities and Social Sciences: objectives, applications, principles, and methods
2. Natural Language Processing: Principles, methods, and downstream tasks
3. Digital Libraries, and Text Collections: Digitization, Documentation, Standardization, Reusability, and Interoperability
4. Corpus Annotation
5. Linguistic Resources and Linked Language Data
6. Natural Language Processing and research in Linguistics: language documentation, Lexicology and Lexicography, neology and language change
7. Information Extraction and Cultural Heritage: management and promotion of cultural assets
8. Emotion and Sentiment Analysis
9. Argumentation and propaganda detection, opinion mining, and identification of toxic language
10. Language Technology and society: Natural Language Processing and social media analysis
11. Language Technology and Creative Industries
12. Ethical and legal issues
13. Presentation of student projects.
Keywords
Natural Language Processing, Digital Humanities and social sciences, digitisation, metadata, indexing, retrieval, visualisation
Educational Material Types
- Notes
- Slide presentations
- Book
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
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | 1.6 | ✓ | ||
| Laboratory Work | 25 | 1 | |||
| Reading Assigment | 58 | 2.3 | ✓ | ✓ | |
| Written assigments | 25 | 1 | ✓ | ✓ | |
| Exams | 3 | 0.1 | ✓ | ||
| Total | 150 | 6 |
Student Assessment
Description
1. Active participation 10% (Homework, reading questions)
2. Project and oral presentation 30%
3. Exams 60%
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Exam with Short Answer Questions (Summative)
- Written Assignment (Summative)
- Performance / Staging (Formative)
- Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Δημητρούλια, Τ., Γούτσος, Δ., και Φραγκάκη, Γ. (2024). Εισαγωγή στις Ψηφιακές Ανθρωπιστικές Επιστήμες. Ένας πρακτικός οδηγός. Εκδόσεις Ψυχογιός.
Additional bibliography for study
Γιούλη, Π. (2025). Ανθρωποκεντρική Γλωσσική Τεχνολογία και Ψηφιακές Ανθρωπιστικές και Κοινωνικές Επιστήμες. Βασικές έννοιες και εφαρμογές. Σημειώσεις μαθήματος.
Mcgillivray, B., Poibeau, T., Ruiz, P. (2020). Digital Humanities and Natural Language Processing: “Je t’aime... Moi non plus”. Digital Humanities Quarterly, 14 (2), ⟨10.17863/CAM.55816⟩. ⟨hal-02970302⟩.
Drucker, J. (2021) The Digital Humanities Coursebook : An Introduction to Digital Methods for Research and Scholarship. Routledge.
Last Update
14-02-2025
