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.