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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2014 Vol. 4(5): 428-432 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V4.449

A Framework Design of Mongolian Idioms Knowledge Base

Hai Yinhua
Abstract—Building a "Knowledge Base of Mongolian Idioms" is not only the effective way of protecting, developing and utilizing Mongolian language resources, but also providing formal knowledge for machine translation, corpus processing, text proofreading, and other fields which can meet the urgent needs of Mongolian Information Processing. Developing a teaching-aid program will provide a convenient tool for the Mongolian students of different ages and at different levels. The aim of this paper is using the computational linguistic theory and method to developing a "Knowledge Base of Mongolian Idioms". This paper will dissertate a framework of the knowledge base from the perspective of the scale and structure, attribute field, management software, and the analysis of application prospect and etc.

Index Terms—Mongolian, knowledge base of idioms, framework design.

Hai Yinhua is with the School of Mongolian Studies, Inner Mongolia University, Hohhot,010021,China (e-mail: haiyh2008@163.com).

[PDF]

Cite: Hai Yinhua, "A Framework Design of Mongolian Idioms Knowledge Base," International Journal of Machine Learning and Computing vol. 4, no. 5, pp. 428-432, 2014.

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