Eo Ipso – Automated Internal Reconstruction

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dc.contributor.advisor Jäger, Gerhard (Prof. Dr.)
dc.contributor.author Bischoff, Andreas Martin
dc.date.accessioned 2022-11-22T08:19:01Z
dc.date.available 2022-11-22T08:19:01Z
dc.date.issued 2023-08-15
dc.identifier.isbn 978-3-946552-74-1
dc.identifier.uri http://hdl.handle.net/10900/133321
dc.identifier.uri http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-1333214 de_DE
dc.identifier.uri http://dx.doi.org/10.15496/publikation-74674
dc.description.abstract This volume aims to contribute to the study into the method of internal reconstruction of ancient language stages in two particular ways. Firstly, it seeks to give texture to the theoretical aspects of internal reconstruction, including its problems and basic requirements. The second part deals with the machine implementation of internal‑reconstruction methods. Different methods that have been proposed in the literature are presented and their suitability for an adequate computational implementation is discussed. The emphasis is set on the phonological reconstruction of sound change. In total, six different methods are implemented with German and Proto‑Indo‑European data. The results of the automated internal reconstruction are evaluated quantitatively and qualitatively against a gold-standard. en
dc.language.iso en de_DE
dc.publisher Universität Tübingen de_DE
dc.rights cc_by-nc-nd
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode en
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.de de
dc.subject.ddc 491.8 de_DE
dc.subject.other Interne Rekonstruktion de_DE
dc.subject.other Sprachrekonstruktion de_DE
dc.subject.other Computerlinguistik de_DE
dc.subject.other Vergleichende Sprachwissenschaft de_DE
dc.subject.other Historische Sprachwissenschaft de_DE
dc.subject.other Historisch-Vergleichende Sprachwissenschaft de_DE
dc.subject.other Digital Humanities en
dc.subject.other Historical Linguistics en
dc.subject.other Comparative Linguistics en
dc.subject.other Computational Linguistics en
dc.subject.other Ancestral State Reconstruction en
dc.subject.other Computational Historical Linguistics en
dc.subject.other Internal Reconstruction en
dc.title Eo Ipso – Automated Internal Reconstruction en
dc.type PhDThesis de_DE
dcterms.dateAccepted 2022-05-30
utue.publikation.fachbereich Allgemeine u. vergleichende Sprachwissenschaft de_DE
utue.publikation.fakultaet 5 Philosophische Fakultät de_DE
utue.publikation.noppn yes de_DE

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