SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:uu-340125"
 

Search: onr:"swepub:oai:DiVA.org:uu-340125" > Evolutionary dynami...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist
  • Greenhill, Simon J.Australian Natl Univ, ARC Ctr Excellence Dynam Language, Canberra, ACT 0200, Australia.;Max Planck Inst Sci Human Hist, Dept Linguist & Cultural Evolut, D-07745 Jena, Germany. (author)

Evolutionary dynamics of language systems

  • Article/chapterEnglish2017

Publisher, publication year, extent ...

  • 2017-10-04
  • NATL ACAD SCIENCES,2017
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:uu-340125
  • https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-340125URI
  • https://doi.org/10.1073/pnas.1700388114DOI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Understanding how and why language subsystems differ in their evolutionary dynamics is a fundamental question for historical and comparative linguistics. One key dynamic is the rate of language change. While it is commonly thought that the rapid rate of change hampers the reconstruction of deep language relationships beyond 6,000-10,000 y, there are suggestions that grammatical structures might retainmore signal over time than other subsystems, such as basic vocabulary. In this study, we use a Dirichlet process mixture model to infer the rates of change in lexical and grammatical data from 81 Austronesian languages. We show that, on average, most grammatical features actually change faster than items of basic vocabulary. The grammatical data show less schismogenesis, higher rates of homoplasy, and more bursts of contact-induced change than the basic vocabulary data. However, there is a core of grammatical and lexical features that are highly stable. These findings suggest that different subsystems of language have differing dynamics and that careful, nuanced models of language change will be needed to extract deeper signal from the noise of parallel evolution, areal readaptation, and contact.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Wu, Chieh-HsiUniv Oxford, Dept Stat, Oxford OX1 3LB, England. (author)
  • Hua, XiaAustralian Natl Univ, Res Sch Biol, Div Ecol Evolut & Genet, Macroevolut & Macroecol, Canberra, ACT 0200, Australia. (author)
  • Dunn, MichaelUppsala universitet,Institutionen för lingvistik och filologi(Swepub:uu)micdu303 (author)
  • Levinson, Stephen C.Max Planck Inst Psycholinguist, NL-6525 XD Nijmegen, Netherlands.;Radboud Univ Nijmegen, Comparat Linguist, NL-6525 HP Nijmegen, Netherlands. (author)
  • Gray, Russell D.Max Planck Inst Sci Human Hist, Dept Linguist & Cultural Evolut, D-07745 Jena, Germany.;Univ Auckland, Sch Psychol, Auckland, New Zealand. (author)
  • Australian Natl Univ, ARC Ctr Excellence Dynam Language, Canberra, ACT 0200, Australia.;Max Planck Inst Sci Human Hist, Dept Linguist & Cultural Evolut, D-07745 Jena, Germany.Univ Oxford, Dept Stat, Oxford OX1 3LB, England. (creator_code:org_t)

Related titles

  • In:Proceedings of the National Academy of Sciences of the United States of America: NATL ACAD SCIENCES114:42, s. E8822-E88290027-84241091-6490

Internet link

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view