Teacher(s)
Language
French
> English-friendly
> English-friendly
Prerequisites
- A bachelor's degree
- A solid foundation of general and computational linguistics
- A solid knowledge of academic English
Main themes
The goal of the course is to explore recent research in the field of computational linguistics, focusing on how efforts in theoretical linguistics and computational techniques can complement each other. Topics can be adapted and/or given additional attention based on the interests of the participants. The course will cover both basic tutorial material and more advanced topics. Participants will be expected to read and discuss cutting edge research papers and to complete a term project. Students are encouraged to pursue term projects related to their own developing research interests.
Learning outcomes
At the end of this learning unit, the student is able to : | |
| 1 | Read and synthesize cutting-edge research papers on a subfield of computational linguistics |
| 2 | Understand the current efforts and challenges in computational linguistics research |
| 3 | Present a research question, the research method and results in a written academic paper |
| This learning unit contributes to the development and command of the following skills and learning outcomes of the ELAL programmes (ELAL learning outcomes) | |
Content
The course will introduce a problem in NLP on which students will work in small groups. The course will thus be co-constructed, taking into account the students' work.
Teaching methods
The teaching method will be a mix of traditional lectures and exercises
Evaluation methods
The final grade is the mean of the grades obtained for the following 3 components:
In accordance with Article 72 of the Règlement général des études et des examens (RGEE), the course instructor may propose to the examination board that a student be denied registration for the January or September exam if they have not participated regularly in learning activities and/or have failed to submit assignments within the required deadlines.
Second exam registration
In case of resit, the student will be assessed solely on the basis of a written exam, which will account for 100% of the final grade.
- Attendance and participation to lectures mandatory since lectures are collaborative and hands-on (20%)
- A group research paper of 13 pages max. (with bibliography, but without appendices) to be submitted on the first day of the exam session (40%)
- An individual oral exam with defense of the group research paper (40%)
In accordance with Article 72 of the Règlement général des études et des examens (RGEE), the course instructor may propose to the examination board that a student be denied registration for the January or September exam if they have not participated regularly in learning activities and/or have failed to submit assignments within the required deadlines.
Second exam registration
In case of resit, the student will be assessed solely on the basis of a written exam, which will account for 100% of the final grade.
Other information
Generative artificial intelligence (AI) must be used responsibly and in accordance with academic and scientific integrity practices. Given that scientific integrity requires sources to be cited, the use of generative AI must be explicitly and thorougly acknowledged: the student is required to state (for example in a footnote) whether they used a generative AI (and which one) in writing their answers/term paper, specifying in what capacity the generative AI was used. The student remains responsible for the content of their work, regardless of the sources/references used. Any use of a generative AI for tasks prohibiting its use will be viewed as cheating.
Online resources
https://moodle.uclouvain.be/course/view.php?id=10416
Teaching materials
- Portefeuille de lecture disponible sur Moodle
Faculty or entity
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Linguistics
