Towards automated language classification: A clustering approach

Armin Buch, David Erschler, Gerhard Jäger, Andrei Lupas

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

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 questio
Original languageEnglish
Title of host publicationApproaches to Measuring Linguistic Differences
EditorsAnju Saxena, Lars Borin
Place of PublicationBerlin
Publisherde Gruyter
Pages303-327
Number of pages25
ISBN (Electronic)9783110305258
ISBN (Print)9783110303759
StatePublished - 14 Oct 2013
Externally publishedYes

ASJC Scopus subject areas

  • General Arts and Humanities
  • General Social Sciences

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