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Integrating MultiWordNet with Italian Sign Language lexical resources
Affiliation:1. Institute for Infocomm Research, Singapore;2. University of Hong Kong, Hong Kong;3. Centre for Computer and Information Security Research, School of Computer Science and Software Engineering, University of Wollongong, Australia;1. Department of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia;2. Department of Electrical and Computer Engineering, Concordia University, Montreal H3G 1T7, QC, Canada;3. The Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal H3G 1T7, QC, Canada;1. Sobey School of Business, Saint Mary’s University, Halifax, NS B3H 2W3, Canada;2. Charlton College of Business, University of Massachusetts Dartmouth, Dartmouth, MA 02747, USA;1. School of Science and Technology, Georgia Gwinnett College, Lawrenceville, GA 30045, United States;2. Dept of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL, United States;1. Universidade Federal de Ouro Preto, Computing Department, Ouro Preto, MG, Brazil;2. Universidade Federal de Minas Gerais, Computer Science Department, 31.270-010 Belo Horizonte, MG, Brazil
Abstract:A novel Italian Sign Language MultiWordNet (LMWN), which integrates the MultiWordNet (MWN) lexical database with the Italian Sign Language (LIS), is presented in this paper. The approach relies on LIS lexical resources which support and help to search for Italian lemmas in the database and display corresponding LIS signs. The lexical frequency analysis of the lexicon and some newly created signs approved by expert LIS signers are also discussed. The larger MWN database helps to enrich the variety and comprehensiveness of the lexicon. We also describe the approach which links the Italian lemmas and LIS signs to extract and display bilingual information from the collected lexicon and the semantic relationships of LIS Signs with MWN. The users can view the meanings of almost one fourth of the lemmas of MWN in LIS.
Keywords:Sign language  MultiWordNet  Language resources  Annotation  Sign language dictionaries  Bilingual lexical resources  Avatar  Animation
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