CONTRAST-IT corpus: French data collection
<p><strong>This data collection served to create the </strong><a href="http://philhist-contrast-it-noske.philhist.unibas.ch/cnt/run.cgi/first_form"><strong>CONTRAST-IT</strong></a><strong> corpus.</strong> </p> <p><strong>CONTRAST-IT </strong>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), <strong>French</strong> (from France), Spanish (from Spain), English (from the UK), and German (from Germany).</p> <p>This <strong>French dataset</strong> includes 300'000 words drawn from 520 articles. All the texts collected are authentic, full-length electronic journalistic articles, chosen based on their high representativeness of contemporary <strong>French</strong> newspaper language. The articles were published in 2011 and 2012 in two electronic daily newspapers (lemonde.fr and lefigaro.fr).</p> <p>The corpus and data collection were used in two Swiss National Science Foundation Projects:</p> <ul> <li><a href="https://data.snf.ch/grants/grant/133716">Italian Constituent Order in a Contrastive Perspective (ICOCP) (snf.ch)</a></li> <li><a href="https://data.snf.ch/grants/grant/159273">Italian Sentence Adverbs in a Contrastive Perspective (ISAaC) (snf.ch)</a></li> </ul> <p>For details on the corpus and data collection, see:</p> <ul> <li>De Cesare, A.-M<em>.</em> 2019. CONTRAST-IT e COMPARE-IT. Due nuovi corpora per l’italiano contemporaneo. <em>CHIMERA. Romance Corpora and Linguistic studies</em> 6: 43-74. <a href="https://revistas.uam.es/chimera/article/view/11430">https://revistas.uam.es/chimera/article/view/11430</a></li> </ul> <p><a href="https://contrast-it.philhist.unibas.ch/en/corpora/contrast-it-corpus/">CONTRAST-IT. Corpus | contrast_it: italiano in prospettiva contrastiva / Italian in a contrastive perspective (unibas.ch)</a></p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4