27_[9783110312027 - Space] Disentangling.pdf

In this paper I will not seek to settle this question for individual cases of shared characteristics between two specific languages (e.g. why do French and German have no distance contrast in demonstratives?; see Diessel 2008;Cysouw 2011), because individual historical developments cannot be predict...

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Έκδοση: De Gruyter 2019
id oapen-20.500.12657-23710
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spelling oapen-20.500.12657-237102024-03-22T19:23:05Z Chapter Disentangling geography from genealogy Cysouw, Michael Auer, Peter Hilpert, Martin Stukenbrock, Anja Szmrecsanyi, Benedikt Space Geolinguistics Interaction Cognition thema EDItEUR::C Language and Linguistics::CF Linguistics thema EDItEUR::C Language and Linguistics::CF Linguistics::CFF Historical and comparative linguistics::CFFD Dialect, slang and jargon thema EDItEUR::C Language and Linguistics::CF Linguistics::CFG Semantics, discourse analysis, stylistics In this paper I will not seek to settle this question for individual cases of shared characteristics between two specific languages (e.g. why do French and German have no distance contrast in demonstratives?; see Diessel 2008;Cysouw 2011), because individual historical developments cannot be predicted by a general theory of human language. Specific historical events can only be reconstructed by an in-depth investigation of the actual history of a specific situation. However, I propose that the influence of borrowing vis-à-vis genealogical descent can be investigated in the aggregate (cf. Nerbonne and Siedle 2005; Nerbonne 2009 on the notion “aggregate”).To investigate the relationship between typological structure, genealogical descent, and borrowing, I will use data from the World Atlas of Language Structures (WALS, Haspelmath et al. 2005). This resource provides information about typological structure and genealogical descent, but not about possible contact or the probability of borrowing. To approach the probability of borrowing, I will use the present-day geographical distribution of languages, assuming that the probability of borrowing is inversely correlated with geo-graphical distance. Specifically, geographically close languages will have a higher probability of contact, and likewise a higher probability of borrowing. 2019-11-19 23:55 2020-01-07 16:47:06 2020-04-01T09:26:33Z 2020-04-01T09:26:33Z 2013 chapter 1006434 OCN: 1135847150 9783110311969 http://library.oapen.org/handle/20.500.12657/23710 eng application/pdf n/a 27_[9783110312027 - Space] Disentangling.pdf De Gruyter Space in Language and Linguistics: Geographical, Interactional, and Cognitive Perspectives 10.1515/9783110312027.21 10.1515/9783110312027.21 2b386f62-fc18-4108-bcf1-ade3ed4cf2f3 b7a963b6-a53f-4752-b9f9-74ec106f4a0e 7292b17b-f01a-4016-94d3-d7fb5ef9fb79 9783110311969 European Research Council (ERC) Berlin/Boston 240816 FP7 Ideas: European Research Council FP7-IDEAS-ERC - Specific Programme: "Ideas" Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013) open access
institution OAPEN
collection DSpace
language English
description In this paper I will not seek to settle this question for individual cases of shared characteristics between two specific languages (e.g. why do French and German have no distance contrast in demonstratives?; see Diessel 2008;Cysouw 2011), because individual historical developments cannot be predicted by a general theory of human language. Specific historical events can only be reconstructed by an in-depth investigation of the actual history of a specific situation. However, I propose that the influence of borrowing vis-à-vis genealogical descent can be investigated in the aggregate (cf. Nerbonne and Siedle 2005; Nerbonne 2009 on the notion “aggregate”).To investigate the relationship between typological structure, genealogical descent, and borrowing, I will use data from the World Atlas of Language Structures (WALS, Haspelmath et al. 2005). This resource provides information about typological structure and genealogical descent, but not about possible contact or the probability of borrowing. To approach the probability of borrowing, I will use the present-day geographical distribution of languages, assuming that the probability of borrowing is inversely correlated with geo-graphical distance. Specifically, geographically close languages will have a higher probability of contact, and likewise a higher probability of borrowing.
title 27_[9783110312027 - Space] Disentangling.pdf
spellingShingle 27_[9783110312027 - Space] Disentangling.pdf
title_short 27_[9783110312027 - Space] Disentangling.pdf
title_full 27_[9783110312027 - Space] Disentangling.pdf
title_fullStr 27_[9783110312027 - Space] Disentangling.pdf
title_full_unstemmed 27_[9783110312027 - Space] Disentangling.pdf
title_sort 27_[9783110312027 - space] disentangling.pdf
publisher De Gruyter
publishDate 2019
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