This paper presents an interactive, collaborative virtual heritage system that employs tangible interfaces to make learning experience more interesting and effective. The system is designed for a group of users collaboratively play games to learn a Korean cultural heritage site, the ‘Moyang’ castle. While most virtual heritage applications focus on the reconstruction of objects or places, it ai...

Alonzo C. Addison serves as Director of the Center for Design Visualization, University of California, Berkeley. A co-founder of the Virtual Heritage Network, his work ranges from historical visualization to design simulation, information architecture, and collaborative networks. Currently completing a doctorate in design theory from Berkeley, he also holds an MA in architecture from the univer...

The area of virtual heritage has long been concentrated on generating digital reconstructions of historical or archaeological artefacts and sites with enough fidelity to be truly accurate representations of their real-world counterparts. In some cases, the advancement of tools and techniques for achieving greater visual realism has distracted from the development of other directions that enhanc...

Arabic morphology poses special challenges to computational natural language processing systems. Its rich morphology and the highly complex word formation process of roots and patterns make computational approaches to Arabic very challenging. In this paper we present an approach for morphological analysis and generation of Modern Standard Arabic (MSA). Our approach is based on Arabic morphologi...

Electronic Document Management (EDM) technology is being widely adopted as it makes for the efficient routing and retrieval of documents. Optical Character Recognition (OCR) is an important front end for such technology. Excellent OCR now exists for Latin based languages, but there are few systems that read Arabic, which limits the penetration of EDM into Arabicspeaking countries. In developing...

The present research aims to identify Japanese listeners’ perception patterns of non-native liquid contrasts. The study examines Japanese listeners’ perception of Arabic liquids (/l/, /r/, /ll/ and /rr/). Japanese listeners showed poor performance on the Arabic /l/-/r/ discrimination and very good performance on the discrimination of the other liquid contrasts (/l/-ll/, /ll/-/rr/, /l/-/rr/, /r/...

This paper presents a novel holistic technique for classifying Arabic handwritten text documents. The classification of Arabic handwritten documents is performed in several steps. First, the Arabic handwritten document images are segmented into words, and then each word is segmented into its connected parts. Second, several structural and statistical features are extracted from these connected ...

Arabic morphological analysis is one of the essential stages in Arabic Natural Language Processing. In this paper we present an approach for Arabic morphological analysis. This approach is based on Arabic morphological automaton (AMAUT). The proposed technique uses a morphological database realized using XMODEL language. Arabic morphology represents a special type of morphological systems becau...