Katarzyna Barczewska

Work place: Department of Automatics and Bioengineering, Department of Electronics, Krakow, Poland

E-mail: kbarczew@agh.edu.pl


Research Interests: Human-Computer Interaction, Computer systems and computational processes, Computational Learning Theory, Data Structures and Algorithms


Katarzyna Barczewska received her MSc degree in Biomedical Engineering from AGH University of Science and Technology in Kraków, Poland. Now she is a PhD candidate in the Department of Automatics and Biomedical Engineering at AGH. Her research interests include, machine learning, gesture recognition and human-computer interaction.

Author Articles
Using Components of Corpus Linguistics and Annotation Tools in Sign Language Teaching

By Katarzyna Barczewska Jakub Galka Dorota Szulc Mariusz Masior Rafal Samborski Tomasz J. Wilczynski

DOI: https://doi.org/10.5815/ijmecs.2016.02.02, Pub. Date: 8 Feb. 2016

As an interdisciplinary group of people working on automatic sign language recognition, authors of the article developed concept how to facilitate the process of understanding Sign Language (SL) utterances by hearing learners. Concept is based on Polish SL, and was created in response to signals from the students who indicate understanding of SL messages as the hardest part of learning process, but can be easily adapted to other SLs. In comparison to speech corpora, SL databases constitute only a small fraction. From the other side thanks to the Internet there are available video recordings with native-signers, as well as tools which enable their analysis. Developed concept is based on using one of the available annotation tools used by professionals all over the world to describe SL corpora in SL classes. Making annotations helps students in understanding foreign language, corpora analysis helps to find objective rules governing SL, computer assisted language learning can be attractive way of study and Internet – great source of materials.

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