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The VinKo Corpus. Oral data from Romance and Germanic local varieties of Northern Italy

Authors: Kruijt, Anne; Rabanus, Stefan; Tagliani, Marta;

The VinKo Corpus. Oral data from Romance and Germanic local varieties of Northern Italy

Abstract

The VinKo corpus is a parallel corpus with audio recordings from German and Italian dialects and minority languages spoken in the Italian regions Trentino-South Tyrol and Veneto. The data has been crowdsourced via the online platform of the VinKo project and was produced in response to a pronunciation and translation task targeted at eliciting phonological and morpho-syntactic phenomena for language contact studies. The VinKo corpus V1.1 contains over 125.000 audio files from 11 language varieties. The project strives towards a ‘open science’ approach with an integral ‘citizen science’ component by active collaboration with local institutions and freely sharing the data with different stakeholders, e.g. speech communities, scientific community. All collected data can be accessed via the admin interface of the VinKo website or downloaded from the online repository, and a selection of the data is represented via an online map targeted at a non-specialist audience.

Countries
Italy, Germany
Keywords

ddc:400, Crowdsourcing, Citizen science, German dialects, Italian dialects, minority languages, language contact, Kontrastive Linguistik, Gesprochene Sprache, Dialektologie, Korpus, 410, 400

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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!
0
Average
Average
Average
Green