Recent Updates
-
STSM testimonial – Eye-tracking data collection on Greek participants
My Short Term Scientific Mission (STSM) at the University of Zagreb was an invaluable opportunity for professional growth. Working alongside Dr. Pavlinušić Vilus and the team at the POLIN lab, I gained essential skills in eye-tracking and data collection, which I will apply in my research with Greek-speaking participants …
-
MultiplEYE Mid-Term Conference Proceedings
Abstracts reviewed and accepted by the Programme Committee are collected in a book of abstracts published through PsychArchives with a DOI. Check MuMiCo24 proceedings here …
-
MultiplEYE Mid-Term Conference
On September 12–13, 2024, members of the MultiplEYE group, along with other participants, gathered for the MultiplEYE mid-term Conference (MuMiCo24) held at the University of New York in Tirana, Albania. The primary goal of MuMiCo24 was to unite researchers involved in the project to present their findings and ongoing research…
Subscribe to the MultiplEYE Newsletter
Please send an email to evistrandafili@unyt.edu.al to subscribe to our newsletter.
Your email address is used solely to send you our newsletter and information concerning our activities (3–4 times per year). You can unsubscribe any time by simply replying to the newsletter.
About MultiplEYE
The MultiplEYE COST Action aims to foster an interdisciplinary network of research groups working on collecting eye tracking data from reading in many languages. The goal is to support the development of a large multilingual eye tracking corpus and enable researchers to collect data by sharing infrastructure and their knowledge between various fields, including linguistics, psychology, and computer science. This data collection can then be used to study human language processing from a psycholinguistic perspective as well as to improve and evaluate computational language processing from a machine learning perspective.
The MultiplEYE COST Action has three core goals:
1. To provide a platform for discussing the desiderata and reaching a common ground between psycholinguists and computational linguists for a multilingual eye-tracking and self-paced reading data collection. This includes developing and reaching a consensus concerning experiment design, stimulus selection, stimulus layout, experimental procedure, and data preprocessing.
2. To enable discussions on the psycholinguistic research questions that can be addressed with multilingual eye movement data and providing a broad network to initiate collaborations focusing on cross-linguistic and multilingual projects.
3. To advance the natural language processing and machine learning applications that leverage eye-tracking data and improve their cross-linguistic generalization abilities by bringing researchers from psycholinguistics and computational linguistics closer together.