Enabling multilingual eye-tracking data collection for human and machine language processing research

Recent Updates

  • Insights from WG2

    WG2 “Experiment design & methodology” investigates the current state-of the-art eye-tracking technology in reading studies for children. The members of WG2 are multidisciplinary, with experts in engineering, computer science, cognitive and experimental psychology, and linguistics, which gives the advantage of investigating eye-tracking technology in reading studies from different perspectives.

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  • CLOSED Call for WG1 meeting, Zagreb

    The WG1 in-person meeting will take place on 28-29 September 2023, in Zagreb, Croatia at the Department of Speech and Language Pathology, Faculty of Education and Rehabilitation Sciences, University of Zagreb. The main objective of the meeting is to finalize the experiment procedure for the MultiplEYE data collection. Please note that everyone (not only Management…

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  • Call has closed
    STSM open to all host institutions

    STSM CALL is closed Application deadline: July 10, 2023 The STSM can take place in the period from mid August to late September 2023

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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.