Ancestral state reconstruction and loanword detection

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Show simple item record Köllner, Marisa Dellert, Johannes 2016-03-02T10:35:24Z 2016-03-02T10:35:24Z 2016-03-02
dc.identifier.uri de_DE
dc.description.abstract Building on established applications of methods from bioinformatics to historical linguistics, we investigate the potential of different ancestral state reconstruction (ASR) methods for the task of loanword detection. Based on a very simple criterion for deriving loanword judgments from reconstructed ancestral states, we compare the performance of two state-of-the-art approaches to ASR against a very simple threshold-based, more linguistically motivated reconstruction method. We evaluate on the Indo-European cognacy judgments encoded in the IELex database. While overall performance is very low due to the properties of the dataset, there are marked differences in precision between the three methods, demonstrating that the development of specialized reconstruction methods for computational historical linguistics is worth pursuing. en
dc.language.iso en de_DE
dc.publisher Universität Tübingen de_DE
dc.rights ubt-podok de_DE
dc.rights.uri de_DE
dc.rights.uri en
dc.subject.classification Sprachstatistik , Phylogenetik , Historische Sprachwissenschaft de_DE
dc.subject.ddc 400 de_DE
dc.subject.other phylogenetic linguistics en
dc.subject.other historical linguistics en
dc.subject.other loanwords en
dc.subject.other ancestral state reconstruction en
dc.title Ancestral state reconstruction and loanword detection en
dc.type ConferencePaper de_DE
utue.publikation.fachbereich Allgemeine u. vergleichende Sprachwissenschaft de_DE
utue.publikation.fakultaet 5 Philosophische Fakultät de_DE
utue.publikation.fakultaet 5 Philosophische Fakultät de_DE
utue.opus.portal CPAL de_DE
utue.publikation.noppn yes de_DE


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