Bootstrap co-occurrence networks of consonants and the Basic Consonant Inventory

dc.contributor.authorNikolaev, Dmitry
dc.date.accessioned2024-06-17T08:56:54Z
dc.date.available2024-06-17T08:56:54Z
dc.date.issued2023de
dc.date.updated2023-07-07T10:59:46Z
dc.description.abstractIt has been recently shown by Nikolaev and Grossman that it is possible to provide a fine-grained typological analysis of consonant inventories of the world’s languages by investigating co-occurrence classes of segments, i.e. groups of segments that tend to be found together in inventories. Nikolaev and Grossman argued that the structure of many of such co-occurrence classes is in contradiction with the Feature-Economy Principle. As a side product of this analysis, a new definition of the Basic Consonant Inventory (BCI) - a cluster of segments forming the bedrock of consonantal inventories of the world’s languages - was provided. This paper replicates the co-occurrence study in an arguably more robust way. In addition to making a methodological contribution, it shows that some of the co-occurrence classes defined by Nikolaev and Grossman, including the BCI, are not statistically stable and may be an artefact of the imbalance in the language sample used for the analysis. The findings of the authors regarding the Feature-Economy Principle, however, were corroborated.en
dc.identifier.issn1430-0532
dc.identifier.issn1613-415X
dc.identifier.other1892817845
dc.identifier.urihttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-145407de
dc.identifier.urihttp://elib.uni-stuttgart.de/handle/11682/14540
dc.identifier.urihttp://dx.doi.org/10.18419/opus-14521
dc.language.isoende
dc.relation.uridoi:10.1515/lingty-2022-0036de
dc.rightsinfo:eu-repo/semantics/openAccessde
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/de
dc.subject.ddc004de
dc.subject.ddc400de
dc.titleBootstrap co-occurrence networks of consonants and the Basic Consonant Inventoryen
dc.typearticlede
ubs.fakultaetInformatik, Elektrotechnik und Informationstechnikde
ubs.institutInstitut für Maschinelle Sprachverarbeitungde
ubs.publikation.seiten363-380de
ubs.publikation.sourceLinguistic typology 27 (2023), S. 363-380de
ubs.publikation.typZeitschriftenartikelde

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