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Dialectology for Computational Linguists

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book 31 Jul 2021 Netherlands Publisher:Cambridge University Press (CUP)
Authors: Nerbonne, J.; Heeringa, W.; Prokic, J.; Wieling, M.;

doi: 10.1017/9781108565080.007

handle: 11370/631fbfff-01ce-4400-ada3-a1ddc97cd934 , 20.500.11755/59ca710f-b4c7-4a7c-a71b-a06c72b27bb4 , 1887/3210490

Dialectology for Computational Linguists

Abstract

This paper provides an overview of computational work in dialectology. Wehave published similar surveys in the not-too-distant past (Heeringa and Prokic,2018; Wieling and Nerbonne, 2015), but these were aimed at dialectologists andgeneral linguists, respectively. This article is aimed at computational linguists,so that we will focus less on the nuts and bolts of exploiting the computer inresearch on dialects (which is documented in the articles we cite) and more onbackground assumptions and emerging issues and opportunities.

Country
Netherlands
Related Organizations
Keywords

dialectology, computational linguisticsv, dialectometry, variationist linguistics

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    Impact byBIP!
    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).
    		 2
    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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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!
2
Average
Average
Average
Green
Related to Research communities
Netherlands Research Portal
UArctic