PhD candidate / Guest
Manolis Fragkiadakis is a PhD candidate at the Centre for Linguistics and a lecturer at the Leiden University Centre for the Arts in Linguistics.
Fields of interest
- Sign language Recognition
- African Sign Languages
- Data Science
I am part of the “Exploring new methods in comparing sign language corpora” project, a collaboration between the Leiden University Centre for Digital Humanities, Centre for Linguistics and the Data Science Research Programme.
The goal of this project is to innovate some of the most widely used tools in the analysis of signed languages. Furthermore, the project will explore ways in which automated image analysis can be used for semi-automated lemma generation. The functionalities will be developed based on the collection of corpora of four African sign languages that were compiled at the Leiden University.
- 2014 - 2016 MSc Media Technology, Leiden University
- 2007-2013 BSc Digital Systems, Major: e-Services, University of Piraeus
- Fragkiadakis M., Nyst V.A.S. & Putten P.W.H. van der (2021), Towards a user-friendly tool for automated sign annotation: identification and annotation of time slots, number of hands, and handshape, Digital Humanities Quarterly (DHQ) 15(1).
- Fragkiadakis M., Nyst V.A.S. & Nyarco M. (2021), Ghanaian Sign Language Lexicon. [dataset].
- Fragkiadakis M., Nyst V.A.S. & Putten van der P. (2020), Signing as Input for a Dictionary Query: Matching Signs Based on Joint Positions of the Dominant Hand.
No relevant ancillary activities