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Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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CONTRAST-IT corpus: Italian data collection

Authors: De Cesare, Anna-Maria;

CONTRAST-IT corpus: Italian data collection

Abstract

This data collection served to create the CONTRAST-IT corpus. CONTRAST-IT is a medium-size multilingual corpus (including ca. 1.5 million words) based on a comparable collection of articles published in online daily newspapers. The articles are written in five languages: Italian (from Italy), French (from France), Spanish (from Spain), English (from the UK), and German (from Germany). This Italian dataset includes 300'000 words drawn from 531 articles. All the texts collected are authentic, full-length electronic journalistic articles, chosen based on their high representativeness of contemporary Italian newspaper language. The articles were published in 2011 and 2012 in three electronic daily newspapers (repubblica.it, lastampa.it, corriere.it). The corpus and data collection were used in two Swiss National Science Foundation Projects: Italian Constituent Order in a Contrastive Perspective (ICOCP) (snf.ch) Italian Sentence Adverbs in a Contrastive Perspective (ISAaC) (snf.ch) For details on the corpus and data collection, see: De Cesare, A.-M. 2019. CONTRAST-IT e COMPARE-IT. Due nuovi corpora per l’italiano contemporaneo. CHIMERA. Romance Corpora and Linguistic studies 6: 43-74. https://revistas.uam.es/chimera/article/view/11430 CONTRAST-IT. Corpus | contrast_it: italiano in prospettiva contrastiva / Italian in a contrastive perspective (unibas.ch)

Related Organizations
Keywords

Italian newspaper articles; CONTRAST-IT; multilingual corpus; linguistic research

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selected citations
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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).
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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!
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