Recent Updates
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STSM testimonial – Language Modelling Assisted Development of Comprehension Questions
Omer Shubi is a PhD student in Data Science at the Technion Israel Insitute of Technology. His research interests are focused on the intersection of Natural Language Processing, Psycholinguistics & Cognitive Science. His STSM completed at the Department of Computational Linguistics, University of Zurich from 12/01/2024 to 01/02/2024 focused on aspects of piloting and refining…
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STSM testimonial – Analysis of the MultiplEYE pilot data for Croatian
Eva Pavlinušić Vilus is a posdoctoral researcher at the University of Zagreb, Faculty of Education and Rehabilitation Sciences, Department of Speech and Language Pathology. She has participated in several aspects of the preparatory work for the MultiplEYE data collection (e.g., translation of the MultiplEYE texts and instructions, translation of the psychometric tools, preparations for the…
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STSM testimonial – Preparing the experimental materials and setting up the experiment in the lab
When I applied for the Short-term Scientific Mission at the University of Zurich, I sort of expected that the people from the Department of Computer Linguistics would be good at technologies. But, when I actually arrived at the department, the first thing I saw, and especially heard, were drones—hovering, flying through the corridors, buzzing from…
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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.