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Language and Linguistics Compass
Article . 2020 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Language and Linguistics Compass
Article
License: CC BY NC ND
Data sources: UnpayWall
DBLP
Article . 2020
Data sources: DBLP
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Mountain linguistics

Authors: Matthias Urban;

Mountain linguistics

Abstract

Abstract Language use in mountainous areas often exhibits special social dynamics. This contribution sketches some of the most salient patterns of language use in upland Southeast Asia ,the greater Himalayas, the Caucasus, the Central Andes, the New Guinea highlands, and touches upon the Alps and some highland areas of Africa and North America. Accumulated over long time, such patterns of use yield particular—often highly diverse, fragmented, and discontinuous—distributions of languages and language families in geographical space the precise characteristics of which also depend on prevailing local sociolinguistic and socioeconomic conditions. Generalization are still difficult since most observations are anecdotal rather than systematic: as far as language structure is concerned, languages spoken in mountainous regions are traditionally often attributed a “conservative” or “archaic” character, preserving inherited traits and patterns that are lost elsewhere; the inaccessibility of the terrain and the resulting relative social isolation are commonly invoked to explain this situation. More recently, mountain languages have also been claimed to feature peaks in the distribution of some typological properties, whether due to sociogeographical factors or, more controversially, even direct influences of the environment: ejectives, grammatical encoding of elevational or topographic information, and overall high levels of structural complexity.

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Germany
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    14
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
hybrid