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dc.contributor.authorDellert, Johannes
dc.date.accessioned2020-03-10 03:00:38
dc.date.accessioned2020-04-01T09:14:37Z
dc.date.available2020-04-01T09:14:37Z
dc.date.issued2019-09-11
dc.identifier1006731
dc.identifier.urihttp://library.oapen.org/handle/20.500.12657/23419
dc.description.abstractThis volume seeks to infer large phylogenetic networks from phonetically encoded lexical data and contribute in this way to the historical study of language varieties. The technical step that enables progress in this case is the use of causal inference algorithms. Sample sets of words from language varieties are preprocessed into automatically inferred cognate sets, and then modeled as information-theoretic variables based on an intuitive measure of cognate overlap. Causal inference is then applied to these variables in order to determine the existence and direction of influence among the varieties. The directed arcs in the resulting graph structures can be interpreted as reflecting the existence and directionality of lexical flow, a unified model which subsumes inheritance and borrowing as the two main ways of transmission that shape the basic lexicon of languages.
dc.languageEnglish
dc.relation.ispartofseriesLanguage Variation
dc.subject.classificationthema EDItEUR::C Language and Linguistics::CF Linguisticsen_US
dc.subject.otherLinguistics
dc.titleInformation-theoretic causal inference of lexical flow
dc.typebook
oapen.identifier.doi10.5281/zenodo.3247415
oapen.relation.isPublishedBy0bad921f-3055-43b9-a9f1-ea5b2d949173
oapen.relation.isFundedByb818ba9d-2dd9-4fd7-a364-7f305aef7ee9
oapen.relation.isbn9783961101436
oapen.place.publicationBerlin
oapen.grant.number104951
oapen.grant.programLanguage Science Press 2018 - 2020
oapen.identifier.isbn9783961101436
grantor.number104951


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