Binyam Gebrekidan Gebre is appointed as ESR in CLARA at the Language Archive Group of the Max Planck Institute for Psycholinguistics from September 1, 2010 to August 31, 2013.

Research

His research involves the investigation and application of machine learning algorithms in facilitating multi-media annotations. His task is to develop algorithms and applications (aka recognizers) to detect and analyze gestures from video recordings. More information can be found in the AVATecH project.

Education Background

In June 2010, he completed an Erasmus Mundus masters programme in Natural Language Processing and Human Language Technology from the Université de Franche-Comté (France) and the University of Wolverhampton (UK). He worked on HMM, SVM, CRF and Brill-based POS tagging methods for Amharic. His publications can be found here:
http://tesniere.univ-fcomte.fr/publications.html#GEBREKIDAN_Binyam

In June 2007, he received a B.Sc. degree in Computer Science and Engineering from Mekelle Institute of Technology.

Publications

Lenkiewicz, P., Wittenburg, P., Gebre, B. G., Lenkiewicz, A., Schreer, O., & Masneri, S. (2011), Application of video processing methods for linguistic research. In Z. Vetulani (Ed.) , Human language technologies as a challenge for computer science and linguistics. Proceedings of the 5th Language and Technology Conference (LTC 2011), November 25-27, 2011, Poznań, Poland (pp. 561-564).

GEBREKIDAN B., (2009), Part-of-Speech Tagging for Amharic, in ISMTCL Proceedings, International Review BULAG, PUFC, ISSN 0758 6787, ISBN 978-2-84867-261-8, pp. 114-120

GEBRE, B.G., (2010), Part of Speech Tagging for Amharic, in Natural Language Processing and Human Language Technology 2010, BULAG n° 34, PUFC, ISSN 0758 6787, ISBN 978-2-84867-312-7, pp. 53-71. [pdf]

Contact Information

Email: binyamgebrekidan.gebre at mpi.nl
Website: http://www.mpi.nl/people/gebre-binyam-gebrekidan