Ancestral state reconstruction and loanword detection

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Dateien:
Aufrufstatistik

URI: http://hdl.handle.net/10900/68643
http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-686431
http://dx.doi.org/10.15496/publikation-10061
Dokumentart: InProceedings (Aufsatz / Paper einer Konferenz etc.)
Date: 2016-03-02
Language: English
Faculty: 5 Philosophische Fakultät
5 Philosophische Fakultät
Department: Allgemeine u. vergleichende Sprachwissenschaft
DDC Classifikation: 400 - Language and Linguistics
Keywords: Sprachstatistik , Phylogenetik , Historische Sprachwissenschaft
Other Keywords:
phylogenetic linguistics
historical linguistics
loanwords
ancestral state reconstruction
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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.

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