Machine Translation
| Title | Μηχανική Μετάφραση / Machine Translation |
| Code | Ε323 |
| Faculty | Philosophy |
| School | French Language and Literature |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter/Spring |
| Common | No |
| Status | Active |
| Course ID | 600018716 |
Programme of Study: PPS Tmīmatos Gallikīs Glṓssas kai Filologías (2020-)
Registered students: 4
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Mandatory Elective Courses | Winter/Spring | - | 6 |
| Academic Year | 2023 – 2024 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600243196
|
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/1/600243196
- eLearning (Moodle):
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction)
- French (Instruction, Examination)
Learning Outcomes
After having successfully completed the course, students:
1. Have learned how to use the automatic translation
2. Have learned how to use the terminology database
3. Have learned the main functions of the translation memory tool SDL Trados
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Work autonomously
- Work in teams
- Work in an interdisciplinary team
- Generate new research ideas
Course Content (Syllabus)
The aim of this course is to provide the students with more than a basic knowledge of computational tools which are used in automatic/machine translation. We mostly focus on machine translation systems, terminology databases and translation memory tools :
1. Machine Translation (MT)
2. A Brief History… from early years to present
3. MT systems
4. Differences between 1st generation systems and 2nd generation systems
5. Application of MT systems on corpora
6. Comparing different MT systems
7. Translation Memory Systems
8. SDL Trados system – Creating a memory
9. Translating with SDL Trados (doc files)
10. Translating with SDL Trados (xml and html files)
11. Terminology databases
12. The IATE Database
13. The Termium Database
Keywords
automatic/machine translation
Educational Material Types
- 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
Description
80% of the course is computer-based. The final evaluation project is also computer-based.
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | 1.6 | |||
| Laboratory Work | 49 | 2.0 | |||
| Project | 30 | 1.2 | |||
| Written assigments | 30 | 1.2 | |||
| Exams | 2 | 0.1 | |||
| Total | 150 | 6 |
Student Assessment
Description
The final grade is the result of the computer assisted assignment or/and the oral exams.
Student Assessment methods
- Written Assignment (Summative)
- Report (Summative)
Bibliography
Course Bibliography (Eudoxus)
Kyriacopoulou T. (2005), L'analyse automatique des textes écrits: le cas du grec, Thessaloniki: University Studio Press.
Last Update
07-02-2020
