In 2024, MultiplEYE’s network members have continued to foster funding support to shape the digital transformation of society through eye-tracking. The following projects funded during 2024, showcase MultiplEYE’s dedication to advancing research in various subfields of linguistics.
Eye tracking for analysing reception of machine translation and sign language (EyeSign)
The project “Eye tracking for analysing reception of machine translation and sign language (EyeSign)” is funded by the Research Council of Lithuania with a duration of 3 years. EyeSign focuses on comprehension, subjective perception and emotional reception of human translated vs. machine-translated texts when reading or understanding texts in sign language. The study will be based on an eye-tracking data analysis involving typical readers and deaf and hard of hearing participants. MultiplEYE stimuli corpus and collected eye tracking data will be used as part of this research.
The project team consists of Kaunas University of Technology researchers (headed by Ramunė Kasperė) who will partner with University of Zurich and University of Twente.
More information on this project: Eye tracking for analysing reception of machine translation and sign language (EyeSign) – Kaunas University of Technology | KTU
Synthesizing eye-tracking data for natural language generation and evaluation (EyeNLG)
The project “Synthesizing eye-tracking data for natural language generation and evaluation (EyeNLG)“, which is associated with MultiplEYE COST Action, is funded by the Swiss National Science Foundataion (SNSF) and will extend over a period of four years.
EyeNLG aims at leveraging human eye movement data to enhance and evaluate neural language models, with a special focus on multilingual approaches from which low-resource languages may benefit.
The project is led by Lena Jäger and David Reich (University of Zurich), with Noam Siegelman (Hebrew University of Jerusalem), Emmanule Chersoni, Yu-Yin Hsu (both from the Hong Kong Polytechnic University) and Lonneke van der Plas (Idiap Research Institute) as partners.
More information on this project: EyeNLG | Department of Computational Linguistics | UZH