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The AUTOTYP database

Authors: Bickel, Balthasar; Nichols, Johanna; Zakharko, Taras; Witzlack-Makarevich, Alena; Hildebrandt, Kristine; Rießler, Michael; Bierkandt, Lennart; +2 Authors

The AUTOTYP database

Abstract

{"references": ["Bickel, Balthasar & Johanna Nichols. 2002. Autotypologizing databases and their use in fieldwork. In Peter Austin, Helen Dry & Peter Wittenburg (eds.), Proceedings of the International LREC Workshop on Resources and Tools in Field Linguistics, Las Palmas, 26-27 May 2002. Nijmegen: MPI for Psycholinguistics", "Bickel, Balthasar & Johanna Nichols. 2006. Oceania, the pacific rim, and the theory of linguistic areas. Proc. Berkeley Linguistics Society 32. 3\u201315."]}

AUTOTYP is a large-scale research program with goals in both quantitative and qualitative typology. This release contains selected aggregated data from the AUTOTYP databases along with metadata and documentation. Please cite as Bickel, Balthasar, Johanna Nichols, Taras Zakharko, Alena Witzlack-Makarevich, Kristine Hildebrandt, Michael Rießler, Lennart Bierkandt, Fernando Zúñiga & John B. Lowe. 2017. The AUTOTYP typological databases. Version 0.1.0. DOI 10.5281/zenodo.3667562

Keywords

linguistic typology, phonology, linguistic typology, morphology, linguistics, syntax, database, morphosyntax

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, 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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
12
Top 10%
Average
Average
89
22