A careful investigation of synchronic patterns of linguistic variation with underlying linguistic features can lead to important insights into the comprehension of diachronic phonetic processes. In this article, we showed that the method of spectral partitioning of bipartite graphs applied to synchronic dialectal data can effectively and reliably be used to investigate diachronic processes, thus contributing to a deeper understanding of the relationship between synchronic variation and diachronic change. This was illustrated through a case study carried out on Tuscan dialects, focusing on so-called Tuscan 'gorgia', a lenition process consisting of the spirantization of stop consonants. In particular, from a quantitative analysis of the sound correspondences involving voiceless and voiced stops, we tracked the evolution of the spirantization phenomenon in several respects. First, we tracked spirantization geographically, across Tuscany from the influential center of Florence to the peripheral areas. Second, we tracked it phonologically, from voiceless to voiced stops, and within each voicing class from velars to dentals and then to bilabials. Finally, we tracked it demographically, with young speakers using the most innovative sound correspondences more than old speakers. The fact that these results are in line with the literature on the topic of Tuscan 'gorgia' demonstrates the potential of the method of spectral partitioning of bipartite graphs with respect to the reconstruction of diachronic processes starting from diatopically distributed synchronic dialectal data.

Synchronic patterns of Tuscan phonetic variation and diachronic change: Evidence from a dialectometric study

Montemagni Simonetta;
2013

Abstract

A careful investigation of synchronic patterns of linguistic variation with underlying linguistic features can lead to important insights into the comprehension of diachronic phonetic processes. In this article, we showed that the method of spectral partitioning of bipartite graphs applied to synchronic dialectal data can effectively and reliably be used to investigate diachronic processes, thus contributing to a deeper understanding of the relationship between synchronic variation and diachronic change. This was illustrated through a case study carried out on Tuscan dialects, focusing on so-called Tuscan 'gorgia', a lenition process consisting of the spirantization of stop consonants. In particular, from a quantitative analysis of the sound correspondences involving voiceless and voiced stops, we tracked the evolution of the spirantization phenomenon in several respects. First, we tracked spirantization geographically, across Tuscany from the influential center of Florence to the peripheral areas. Second, we tracked it phonologically, from voiceless to voiced stops, and within each voicing class from velars to dentals and then to bilabials. Finally, we tracked it demographically, with young speakers using the most innovative sound correspondences more than old speakers. The fact that these results are in line with the literature on the topic of Tuscan 'gorgia' demonstrates the potential of the method of spectral partitioning of bipartite graphs with respect to the reconstruction of diachronic processes starting from diatopically distributed synchronic dialectal data.
Campo DC Valore Lingua
dc.authority.ancejournal LITERARY & LINGUISTIC COMPUTING -
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.people Montemagni Simonetta it
dc.authority.people Wieling Martijn it
dc.authority.people de Jonge Bob it
dc.authority.people Nerbonne John it
dc.collection.id.s b3f88f24-048a-4e43-8ab1-6697b90e068e *
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dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.date.accessioned 2024/02/20 19:28:38 -
dc.date.available 2024/02/20 19:28:38 -
dc.date.issued 2013 -
dc.description.abstracteng A careful investigation of synchronic patterns of linguistic variation with underlying linguistic features can lead to important insights into the comprehension of diachronic phonetic processes. In this article, we showed that the method of spectral partitioning of bipartite graphs applied to synchronic dialectal data can effectively and reliably be used to investigate diachronic processes, thus contributing to a deeper understanding of the relationship between synchronic variation and diachronic change. This was illustrated through a case study carried out on Tuscan dialects, focusing on so-called Tuscan 'gorgia', a lenition process consisting of the spirantization of stop consonants. In particular, from a quantitative analysis of the sound correspondences involving voiceless and voiced stops, we tracked the evolution of the spirantization phenomenon in several respects. First, we tracked spirantization geographically, across Tuscany from the influential center of Florence to the peripheral areas. Second, we tracked it phonologically, from voiceless to voiced stops, and within each voicing class from velars to dentals and then to bilabials. Finally, we tracked it demographically, with young speakers using the most innovative sound correspondences more than old speakers. The fact that these results are in line with the literature on the topic of Tuscan 'gorgia' demonstrates the potential of the method of spectral partitioning of bipartite graphs with respect to the reconstruction of diachronic processes starting from diatopically distributed synchronic dialectal data. -
dc.description.affiliations Consiglio Nazionale delle Ricerche (CNR); University of Groningen; Freiburg Inst Adv Studies -
dc.description.allpeople Montemagni, Simonetta; Wieling, Martijn; de Jonge, Bob; Nerbonne, John -
dc.description.allpeopleoriginal Montemagni, Simonetta; Wieling, Martijn; de Jonge, Bob; Nerbonne, John -
dc.description.fulltext none en
dc.description.numberofauthors 4 -
dc.identifier.doi 10.1093/llc/fqs057 -
dc.identifier.isi WOS:000316543200011 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/228553 -
dc.language.iso eng -
dc.relation.firstpage 157 -
dc.relation.issue 1 -
dc.relation.lastpage 172 -
dc.relation.numberofpages 16 -
dc.relation.volume 28 -
dc.subject.keywords Tuscan dialactelogy -
dc.subject.keywords dialectometry -
dc.subject.keywords diachronic variation -
dc.subject.singlekeyword Tuscan dialactelogy *
dc.subject.singlekeyword dialectometry *
dc.subject.singlekeyword diachronic variation *
dc.title Synchronic patterns of Tuscan phonetic variation and diachronic change: Evidence from a dialectometric study en
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iris.isi.extIssued 2013 -
iris.isi.extTitle Synchronic patterns of Tuscan phonetic variation and diachronic change: Evidence from a dialectometric study -
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isi.contributor.affiliation Consiglio Nazionale delle Ricerche (CNR) -
isi.contributor.affiliation University of Groningen -
isi.contributor.affiliation University of Groningen -
isi.contributor.affiliation University of Groningen -
isi.contributor.country Italy -
isi.contributor.country Netherlands -
isi.contributor.country Netherlands -
isi.contributor.country Netherlands -
isi.contributor.name Simonetta -
isi.contributor.name Martijn -
isi.contributor.name Bob -
isi.contributor.name John -
isi.contributor.researcherId B-8000-2015 -
isi.contributor.researcherId AAA-2462-2019 -
isi.contributor.researcherId E-9342-2010 -
isi.contributor.researcherId Y-8741-2019 -
isi.contributor.subaffiliation Ist Linguist Computaz Antonio Zampolli -
isi.contributor.subaffiliation Ctr Language & Cognit Groningen -
isi.contributor.subaffiliation Ctr Language & Cognit Groningen -
isi.contributor.subaffiliation Ctr Language & Cognit Groningen -
isi.contributor.surname Montemagni -
isi.contributor.surname Wieling -
isi.contributor.surname de Jonge -
isi.contributor.surname Nerbonne -
isi.date.issued 2013 *
isi.description.abstracteng A careful investigation of synchronic patterns of linguistic variation with underlying linguistic features can lead to important insights into the comprehension of diachronic phonetic processes. In this article, we showed that the method of spectral partitioning of bipartite graphs applied to synchronic dialectal data can effectively and reliably be used to investigate diachronic processes, thus contributing to a deeper understanding of the relationship between synchronic variation and diachronic change. This was illustrated through a case study carried out on Tuscan dialects, focusing on so-called Tuscan 'gorgia', a lenition process consisting of the spirantization of stop consonants. In particular, from a quantitative analysis of the sound correspondences involving voiceless and voiced stops, we tracked the evolution of the spirantization phenomenon in several respects. First, we tracked spirantization geographically, across Tuscany from the influential center of Florence to the peripheral areas. Second, we tracked it phonologically, from voiceless to voiced stops, and within each voicing class from velars to dentals and then to bilabials. Finally, we tracked it demographically, with young speakers using the most innovative sound correspondences more than old speakers. The fact that these results are in line with the literature on the topic of Tuscan 'gorgia' demonstrates the potential of the method of spectral partitioning of bipartite graphs with respect to the reconstruction of diachronic processes starting from diatopically distributed synchronic dialectal data. *
isi.description.allpeopleoriginal Montemagni, S; Wieling, M; de Jonge, B; Nerbonne, J; *
isi.document.sourcetype WOS.SSCI *
isi.document.type Article *
isi.document.types Article *
isi.identifier.doi 10.1093/llc/fqs057 *
isi.identifier.isi WOS:000316543200011 *
isi.journal.journaltitle LITERARY AND LINGUISTIC COMPUTING *
isi.journal.journaltitleabbrev LIT LINGUIST COMPUT *
isi.language.original English *
isi.publisher.place GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND *
isi.relation.firstpage 157 *
isi.relation.issue 1 *
isi.relation.lastpage 172 *
isi.relation.volume 28 *
isi.title Synchronic patterns of Tuscan phonetic variation and diachronic change: Evidence from a dialectometric study *
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