COMPUTATIONAL LEXICOGRAPHY -ENHANCEMENT
| Title | ΥΠΟΛΟΓΙΣΤΙΚΗ ΛΕΞΙΚΟΓΡΑΦΙΑ - ΕΜΒΑΘΥΝΣΗ / COMPUTATIONAL LEXICOGRAPHY -ENHANCEMENT |
| Title in German | Computerlexikographie: Lexikographie mit dem Computer und für den Computer - Vertiefung |
| Code | ΑΚ0268-ΕΜ |
| Faculty | Philosophy |
| School | German Language and Literature |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter/Spring |
| Common | Yes |
| Status | Active |
| Course ID | 600024576 |
Programme of Study: PPS Tmīmatos Germanikīs Glṓssas kai Filologías (2020-sīmera)
Registered students: 11
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | EPILEGOMENA EIDIKEUSĪS | Spring | - | 3 |
| Academic Year | 2025 – 2026 |
| Class Period | Spring |
| Faculty Instructors |
|
| Class ID | 600277177
|
Course Type 2021
Specialization / Direction
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600277177
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
Required Courses
- ΑΚ0268 COMPUTATIONAL LEXICOGRAPHY
General Prerequisites
General Linguistics (Morphology, Syntax, Semantics)
Lexicography and Lexicology
Learning Outcomes
Upon successful completion of the course, students should:
understand the basic concepts of Computational Lexicography,
familiarize themselves with the types of computational lexical resources,
become familiar with techniques and methods of lexicon development,
learn about the latest advances in the area (i.e., Large Language Models),
become aware of the ethical and legal issues,
be able to participate in the design, development and evaluation of Computational Lexica for Natural Language Processing tools and 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 teams
- Work in an international context
- Work in an interdisciplinary team
- Generate new research ideas
- Design and manage projects
- 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 course offers an in-depth exploration of specialized topics in Computational Lexicography, with a focus on methods for developing and evaluating lexical resources for Natural Language Processing tasks and applications. Special emphasis will be placed on domain-specific applications and emerging trends brought about with the advent of Large Language Models.
1. Language Technology, Computational Linguistics, and Natural Language Processing (NLP): Basic concepts and principles.
2. A brief historical overview and significant milestones. from Machine-Readble lexica to lexical databases and vector representations (word embeddings).
3. Computational Lexicography and linguistic theory.
4. Morphological and Syntactic Lexicons.
5. From Form to Meaning: representing lexical meaning.
6. Thesauri, Ontologies and Knowlwdge Graphs.
7. Other Types of Lexicons. Lexicons of Multiword Expressions. Constructicons.
8. Applications and Lexical Resources (sentiment analysis).
9. Text Corpora and Lexical Resources. Word Embeddings.
10. Standardization - Linguistic Linked Open Data (LLOD).
11. Vectors, word embeddings. Computational lexica in the era of Large Language Models (LLMs) and GenAI
12. Computational Lexical Resources: Repositories, Legal and Ethical Issues.
13. Presentation of Projects.
Keywords
Natural Language Processing, Natural Language Understanding, (Generative) Artificial Intelligence, Language Resources, Corpus annotation
Educational Material Types
- Notes
- Slide presentations
- Multimedia
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 |
|---|---|---|---|---|---|
| Laboratory Work | 27 | 1.1 | ✓ | ✓ | |
| Reading Assigment | 24 | 1.0 | ✓ | ✓ | |
| Written assigments | 24 | 1.0 | ✓ | ||
| Total | 75 | 3 |
Student Assessment
Description
1. Critical literature review: 30%,
2. Research project and/or essay: 50%,
3. Oral presentation: 20%.
Student Assessment methods
- Written Assignment (Summative)
- Performance / Staging (Summative)
Bibliography
Additional bibliography for study
Γιούλη, Π. (2024). Υπολογιστική Λεξικογραφία. Γλωσσική Τεχνολογία και Γλωσσικοί πόροι. Σημειώσες Μαθήματος.
Hanks, P. (2012) Lexicography. in Mitkov, R. (ed.), The Oxford Handbook of Computational Linguistics (2005; online edn, Oxford Academic, 18 Sept. 2012), https://doi.org/10.1093/oxfordhb/9780199276349.013.0003
Gibbon, D. (2000). Computational Lexicography. In: Van Eynde, F., Gibbon, D. (eds) Lexicon Development for Speech and Language Processing. Text, Speech and Language Technology. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-9458-0_1
Silberztein, M. (Ed) (2024). Linguistic Resources for Natural Language Processing. On the Necessity of Using Linguistic Methods to Develop NLP Software. Springer Nature Switzerland
Huang, C., Calzolari, N., Gangemi, A., Lenci, A., Oltramari, A., Prevot, L.(Eds)(2022) Ontology and the Lexicon.
A Natural Language Processing Perspective. Studies in Natural Language Processing. Cambridge University Press
Tiberius, C. and Heylen, K. (2022). ELEXIS Pathfinder to Computational Lexicography for Developers and Computational Linguists. Version 1.0.0. DARIAH-Campus. https://campus.dariah.eu/id/VL3saRXgj1b2la911h1yK
Fellbaum, Ch. (1998, ed.) WordNet: An Electronic Lexical Database. Cambridge, MA: MIT Press. MIT Press
Miller, G.A. (1995). WordNet: A Lexical Database for English. Communications of the ACM Vol. 38, No. 11: 39-41.
Ruppenhofer, J., Ellsworth, M., Petruck, M.R., Johnson, C.R., & Scheffczyk, J. (2006). FrameNet II: Extended theory and practice.
Camacho-Collados, J., Espinosa Anke, L., and Taher Pilehvar, M. (2018). The interplay between lexical resources and Natural Language Processing. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts, pages 17–23, New Orleans, Louisiana. Association for Computational Linguistics.
Giouli, V. & Barbu Mititelu, V. (eds.). 2024. Multiword expressions in lexical resources: Linguistic, lexicographic, and computational perspectives. (Phraseology and Multiword Expressions 6). Berlin: Language Science Press. DOI: 10.5281/zenodo.10949960. https://langsci-press.org/catalog/book/440
Last Update
23-06-2025
