New advances on multi-lingual multi-function multi-media intelligent system

Authors:
Fuji Ren;Shingo Kuroiwa
Affiliations:
Faculty of Engineering, the University of Tokushima, 2-1 Minamijosan-Jima, Tokushima, 770-8506, Japan;Faculty of Engineering, the University of Tokushima, 2-1 Minamijosan-Jima, Tokushima, 770-8506, Japan
Venue:
Focus on computational neurobiology
Year:
2004

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Abstract

A large variety of information processing applications deal with natural language texts. Many such applications require extracting and processing the meanings of the natural language texts, in addition to processing their syntactic forms. In order to extract meanings from texts and manipulate them, a natural language processing system must have a significant amount of knowledge about the world and the domain of discourse. However, different kinds of knowledge are required for different languages, for different functions, and for different media. In this paper, we design a new general ontology based natural language processing system referred to as Multi-lingual Multi-function Multi-media Intelligent System (MMM-IS). MMM-IS is a big project, it is a complex system with multiple functions that can deal with multiple languages and multiple media. The general ontology consists of a static layer and a dynamic layer, and it provides a real world knowledge model for the natural language processing system. This paper presents the concept of MMM-IS and how to build MMM-IS for real applications, and describes some new advances on the project.