Chapter Towards automated language classification
A clustering approach
Author(s)
Buch, Armin
Erschler, David
Jäger, Gerhard
Lupas, Andrei
Contributor(s)
Saxena, Anju (editor)
Borin, Lars (editor)
Collection
European Research Council (ERC); EU collectionLanguage
EnglishAbstract
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
Keywords
linguistic differencesDOI
10.1515/9783110305258.303ISBN
9783110488081Publisher
De GruyterPublisher website
https://www.degruyter.com/Publication date and place
Berlin/Boston, 2013Grantor
Classification
Linguistics