Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
versions View all 5 versions
addClaim

The Manzini & Savoia (2005) Corpus: Morphosyntactic Variation in Italian and Romansh Dialects

Authors: Savoia, Leonardo Maria; Manzini, Maria Rita; Mazzaggio, Greta; Luca Andrea, Ludovico; Vena, Mael Vittorio; Zoli, Carlo; Baldi, Benedetta; +3 Authors

The Manzini & Savoia (2005) Corpus: Morphosyntactic Variation in Italian and Romansh Dialects

Abstract

Corresponding Author Mazzaggio, Greta (greta.mazzaggio@unifi.it) Abstract This dataset consists of linguistic examples of Italian morphosyntactic microvariation documented in the three volumes: Manzini M.R., Savoia L.M. (2005), I dialetti italiani e romanci. Morfosintassi generativa, Alessandria, Edizioni dell’Orso.These data are also accessible from the following link: https://manzinisavoia.changes.unifi.it/ Dataset content The dataset consists of a corpus of linguistic examples illustrating microvariation in Italian dialects, compiled by Manzini and Savoia (2005). It includes data from 457 Italian dialectal varieties, 9 Corsican varieties, and 19 Swiss varieties, all collected through field research and annotated using the International Phonetic Alphabet (IPA). The corpus contains a total of 64,472 linguistic examples, each consisting of a dialectal sentence transcribed in IPA along with its Italian gloss. For each linguistic example, additional metadata is provided in the header line of the CSV file, using self-explanatory field names: Locality_official_name: Official name of the municipality or village. Locality_short: Shortened version of the municipality or village name. Chapter_title: Title of the chapter in Manzini & Savoia (2005) where the example appears. Chapter_subtitle: Title of the subchapter in Manzini & Savoia (2005) where the example appears (if applicable). Example: Dialectal sentence transcribed in IPA. Glossa: Italian gloss of the example. Data are in CSV format. For further information about data acquisition and digitization, please refer to the publication below. In order to correctly view the examples in IPA, it is essential to use a text editor or software that supports UTF-8 encoding. The dataset consists of a single file of approximately 3.5 MB. Terms of use This work has been supported by funding from the Italian Ministero dell’Università e della Ricerca and from the European Union (PNRR - PE05 CHANGES CUP B53C22004010006). The dataset is open access for scientific research and non-commercial purposes.The authors require to acknowledge their work and, in case of scientific publication, to cite the following works: Manzini M.R., & Savoia L.M. (2005). I dialetti italiani e romanci. Morfosintassi generativa. Alessandria, Edizioni dell’Orso. Mazzaggio, G., & Binazzi, N. (2024). Valorizzare il patrimonio immateriale: un’esperienza di digitalizzazione del dialetto. DILEF. Rivista digitale del Dipartimento di Lettere e Filosofia, 3, pp. 224-242. https://doi.org/10.35948/DILEF/2024.4348 Mazzaggio, G., Ludovico, L. A., Vena, M. V., Manzini, M. R., & Savoia, L. M. (2023). Morphosyntax of Italian and Romance Varieties: Presentation of the Manzini and Savoia (2005) Corpus and Its Digitalization. Bollettino dell’Atlante Linguistico Italiano, 2023(47), 185-210.

Country
Italy
Keywords

dialects; syntax; Italian

  • BIP!
    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).
    1
    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
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
1
Average
Average
Average