2014 Fiscal Year Final Research Report
Development of an algorithm to decide similarities of world languages with considering differences in language names and classifications
Project/Area Number |
23650129
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Multi-year Fund |
Research Field |
Library and information science/Humanistic social informatics
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Research Institution | Yamaguchi University |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
INUI Hideyuki 山口大学, 人文学部, 准教授 (10241754)
WU Ren 山口短期大学, 情報メディア学科, 准教授 (70708015)
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Project Period (FY) |
2011-04-28 – 2015-03-31
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Keywords | 言語系統分類 |
Outline of Final Research Achievements |
Identification of language correspondences between two different sets of language data is one of the main problems in world's languages matching. We proposed a method which enables this identification by using two measures of language name similarity and language classification similarity, having succeeded in searching 88% languages included in one set of language data that relate to another set of language data. We further improved the accuracy by taking into account brother information in a language classification tree. Their method still has a problem, that is, their method gave an inappropriate decision even if either of these two similarities has a complete matching. To address this problem, we define two kinds of new measures: one is a similarity of languages based on brother information, and the other is a language general similarity that integrates the similarities of language name and language classification. The effectiveness of this method was confirmed by experiments.
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Free Research Field |
情報科学
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