Chapter Towards automated language classification A clustering approach

In this paper, we discuss advantages of clustering approaches to automated language classification, describe distance measures used for this purpose, and present results of several proof-of-concept experiments. We advocate the use of probability based distances - those that take into account the dis...

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Bibliographic Details
Main Author: Buch, Armin (auth)
Other Authors: Erschler, David (auth), Jäger, Gerhard (auth), Lupas, Andrei (auth), Saxena, Anju (Editor), Borin, Lars (Editor)
Format: Electronic Book Chapter
Language:English
Published: Berlin/Boston De Gruyter 2013
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Online Access:OAPEN Library: download the publication
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Summary:In this paper, we discuss advantages of clustering approaches to automated language classification, describe distance measures used for this purpose, and present results of several proof-of-concept experiments. We advocate the use of probability based distances - those that take into account the distribution of relevant features across the language sample in question
ISBN:9783110305258.303
9783110488081
Access:Open Access