March 14, 2025. 13:00h. In-person and Zoom session (Room M204, Faculty of Psychology and Speech Therapy). Language: English.
Anna Bondar
Universidad de Zúrich
I will present MultiplEYE project. MultiplEYE is an international project, that 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.
In the presentation, I will provide a comprehensive overview of the project’s structure by outlining its main components, also detailing the diverse research groups involved, the range of languages studied, and the variety of stimuli incorporated into the experiment. I will then describe the challenges and opportunities inherent in such a large-scale, interdisciplinary project. In doing so, I will explain the methodology we’ve adopted to ensure our data remains both consistent and reusable, while still ensuring the necessary diversity across languages and research contexts. Additionally, I will discuss our practices for thorough meta-data documentation, robust data quality reporting, and adherence to open access standards that have been developed and followed within the MultiplEYE framework. Finally, I will touch upon the practical applications of the collected eye-tracking data.
Bio
My name is Anna Bondar. I'm a first-year PhD student at the University of Zurich, working in computational linguistics. My research focuses on multilingual eye-tracking during reading and its applications in natural language processing. Therefore, my work bridges linguistics and cognitive science. I'm particularly interested in how insights from eye movements can enhance machine learning models in language understanding and language generation tasks. By integrating eye-tracking data with computational methods, I hope to contribute to the development of NLP systems that align more closely with human cognition and improve language technology, especially for low-resource languages.
