English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Evaluating the role of quantitative modeling in language evolution

Martins, M., Raju, A., & Ravignani, A. (2014). Evaluating the role of quantitative modeling in language evolution. In L. McCrohon, B. Thompson, T. Verhoef, & H. Yamauchi (Eds.), The Past, Present and Future of Language Evolution Research: Student volume of the 9th International Conference on the Evolution of Language (pp. 84-93). Tokyo: EvoLang9 Organising Committee.

Item is

Files

show Files
hide Files
:
Martins_etal_2014_Evaluating the role of quantitative modelling in language evolution.pdf (Publisher version), 223KB
Name:
Martins_etal_2014_Evaluating the role of quantitative modelling in language evolution.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Martins, Mauricio, Author
Raju, Archishman, Author
Ravignani, Andrea1, Author           
Affiliations:
1University of Vienna, Vienna, Austria, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: Models are a flourishing and indispensable area of research in language evolution. Here we
highlight critical issues in using and interpreting models, and suggest viable approaches. First,
contrasting models can explain the same data and similar modelling techniques can lead to
diverging conclusions. This should act as a reminder to use the extreme malleability of
modelling parsimoniously when interpreting results. Second, quantitative techniques similar to
those used in modelling language evolution have proven themselves inadequate in other
disciplines. Cross-disciplinary fertilization is crucial to avoid mistakes which have previously
occurred in other areas. Finally, experimental validation is necessary both to sharpen models'
hypotheses, and to support their conclusions. Our belief is that models should be interpreted as
quantitative demonstrations of logical possibilities, rather than as direct sources of evidence.
Only an integration of theoretical principles, quantitative proofs and empirical validation can
allow research in the evolution of language to progress.

Details

show
hide
Language(s): eng - English
 Dates: 2014-04-14
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: -
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: The Past, Present and Future of Language Evolution Research: Student volume of the 9th International Conference on the Evolution of Language
Source Genre: Book
 Creator(s):
McCrohon, Luke, Editor
Thompson, Bill, Editor
Verhoef, Tessa, Editor
Yamauchi, Hajime, Editor
Affiliations:
-
Publ. Info: Tokyo : EvoLang9 Organising Committee
Pages: 133 Volume / Issue: - Sequence Number: - Start / End Page: 84 - 93 Identifier: ISBN: 978-4-9906340-1-8