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GlobalMind: Automated Analysis of Cultural Contexts with Multicultural

GlobalMind: Automated Analysis of Cultural Contexts with Multicultural

Hyemin Chung, Henry Lieberman
Copyright: © 2007 |Volume: 3 |Issue: 1 |Pages: 31
ISSN: 1552-6283|EISSN: 1552-6291|ISSN: 1552-6283|EISBN13: 9781615204908|EISSN: 1552-6291|DOI: 10.4018/jswis.2007010104
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MLA

Chung, Hyemin, and Henry Lieberman. "GlobalMind: Automated Analysis of Cultural Contexts with Multicultural." IJSWIS vol.3, no.1 2007: pp.65-95. http://doi.org/10.4018/jswis.2007010104

APA

Chung, H. & Lieberman, H. (2007). GlobalMind: Automated Analysis of Cultural Contexts with Multicultural. International Journal on Semantic Web and Information Systems (IJSWIS), 3(1), 65-95. http://doi.org/10.4018/jswis.2007010104

Chicago

Chung, Hyemin, and Henry Lieberman. "GlobalMind: Automated Analysis of Cultural Contexts with Multicultural," International Journal on Semantic Web and Information Systems (IJSWIS) 3, no.1: 65-95. http://doi.org/10.4018/jswis.2007010104

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Abstract

The need for more effective communication between people of different countries has increased as travel and communications bring more of the world’s people together. Communication is often difficult because of both language differences and cultural differences. Attempts to bridge these differences include many attempts to perform ma-chine translation or provide language resources such as dictionaries or phrase books; however, many problems related to cultural and conceptual differences still remain. Automated mechanisms to analyze cultural similarities and differences might be used to improve traditional machine translators and as aids to cross-cultural communica-tion. This article presents an approach to automatically compute cultural differences by comparing databases of common-sense knowledge in different languages and cultures. GlobalMind provides an interface for acquiring databases of common-sense knowledge from users who speak different languages. It implements inference modules to compute the cultural similarities and differences between these databases. In this article, the design of the GlobalMind databases, the implementation of its inference modules, as well as an evaluation of GlobalMind are described.

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