sychology of Language II: Computational models of language
| Title | ΨΥΧΟΛΟΓΙΑ ΤΗΣ ΓΛΩΣΣΑΣ ΙΙ: ΥΠΟΛΟΓΙΣΤΙΚΑ ΜΟΝΤΕΛΑ ΓΙΑ ΤΗ ΓΛΩΣΣΑ / sychology of Language II: Computational models of language |
| Code | ΨΥ-805 |
| Faculty | Philosophy |
| School | Psychology |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Common | No |
| Status | Active |
| Course ID | 600020294 |
Programme of Study: PPS Tmīmatos PSychologías (2017-sīmera)
Registered students: 27
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses | 8 | 4 | 4 |
| Academic Year | 2022 – 2023 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 2 |
| Total Hours | 26 |
| Class ID | 600212898
|
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600212898
- At the Website of the School:
- eLearning:
- eLearning (Moodle):
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Not applicable
Learning Outcomes
Students who have successfully completed the course are expected to a) gain knowledge of the different disciplines involved in the psychology of language b) understand the various research methods in language research c) acquire knwoledge of the basic computational models and their relationship to language d) get acquainted with the current developments in the field of computer science and neuroscience related to language research
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 in an interdisciplinary team
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
The interdisciplinary branch of language psychology and computational psycholinguistics. Research methods in language. Statistical-computational models, statistical learning, language acquisition and production. Neural networks and computational models and language function.
Keywords
Computational psycholinguistics, Language research, Statistical modeling, Neural networks
Educational Material Types
- Notes
- Slide presentations
- Peer reviewed Article
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Communication with Students
Description
ll material will be uploaded on elearning (https://elearning.auth.gr/)
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 78 | 3 | ✓ | ||
| Reading Assigment | 24 | 0.9 | |||
| Exams | 2 | 0.1 | |||
| Total | 104 | 4 |
Student Assessment
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Exam with Short Answer Questions (Summative)
Bibliography
Course Bibliography (Eudoxus)
Εισαγωγή στη μελέτη της γλώσσας. Κωδικός Βιβλίου στον Εύδοξο: 21540. Έκδοση: 1η έκδ./2008. Συγγραφείς: Fromkin Victoria,Rodman Robert,Hyams Nina. ISBN: 978-960-16-2569-0. Τύπος: Σύγγραμμα. Διαθέτης (Εκδότης): Σ. ΠΑΤΑΚΗΣ ΑΝΩΝΥΜΗ ΕΚΔΟΤΙΚΗ ΕΜΠΟΡΙΚΗ ΚΑΙ ΔΙΑΝΕΜΗΤΙΚΗ ΕΤΑΙΡΕΙΑ
Additional bibliography for study
1) Τάντος, Α., Μαρκαντωνάτου, Σ., Αναστασιάδη-Συμεωνίδη, Ά., Κυριακοπούλου, Π., 2015. Υπολογιστική γλωσσολογία. [ηλεκτρ. βιβλ.] Αθήνα:Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. Διαθέσιμο στο: http://hdl.handle.net/11419/2205
2) Hausser, Roland, 2001. Foundations of computational linguistics : human-computer communication in natural language. Springer-Verlag.
3) Jurafsky, D. & J. H. Martin. (2009). Speech and Language Processing: An Introduction to Natural Language Processing, Speech Recognition, and Computational Linguistics. 2nd edition.
Last Update
25-08-2021
