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Developing a Digital Library of Historical Records in Traditional Mongolian Script

Authors: Biligsaikhan Batjargal; Garmaabazar Khaltarkhuu; Fuminori Kimura; Akira Maeda;

Developing a Digital Library of Historical Records in Traditional Mongolian Script

Abstract

This article discusses the authors' approach in creating a digital library which can be used to access ancient historical documents written in traditional Mongolian script using a query in modern Mongolian Cyrillic. They introduce a Traditional Mongolian Script Digital Library TMSDL, which aims to preserve over 800 years of historical records written in traditional Mongolian for future use and to make them available for public viewing. The authors present their approaches to solve two major problems for realizing such a digital library; 1 accessing ancient documents using a query in modern Mongolian, and 2 rendering traditional Mongolian script properly. They implement an "ancient-to-modern information retrieval" method, which takes into account historical differences in the writing systems of the ancient and modern Mongolian languages. The authors' results are explored further in the article.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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