From Statistical to Geolinguistic Data: Mapping and Measuring Linguistic Diversity

Monica Barni

No 12082, Knowledge, Technology, Human Capital Working Papers from Fondazione Eni Enrico Mattei (FEEM)

Abstract: The aim of this paper is describing a new methodology for mapping and measuring linguistic diversity in a territory. The three methods that have been created by the Centro di eccellenza della ricerca Osservatorio linguistico permanente dell-italiano diffuso fra stranieri e delle lingue immigrate in Italia at the Università per Stranieri di Siena are the following: - the Toscane favelle model, a procedural application which passes from quantitative statistical data to a demolinguistic paradigm; - the Monterotondo-Mentana model. The surveys of quantitative and qualitative data are carried out using traditional tools (questionnaires, audio and video recordings) as well as advanced technologies; - the Esquilino model. Digital maps are created which present the distribution of the immigrant languages through the presence of signs in linguistic landscape. The final objective is putting together the data surveyed by the three methods in order to have a "speaking" territory, in which each point surveyed identifies the languages spoken and the various linguistic manifestations

Keywords: Community/Rural/Urban; Development (search for similar items in EconPapers)
Pages: 16
Date: 2006
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed

Downloads: (external link)
https://ageconsearch.umn.edu/record/12082/files/wp060053.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:feemkt:12082

DOI: 10.22004/ag.econ.12082

Access Statistics for this paper

More papers in Knowledge, Technology, Human Capital Working Papers from Fondazione Eni Enrico Mattei (FEEM) Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().