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The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.4
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The Twitter user dataset for discriminating between Bosnian, Croatian, Montenegrin and Serbian Twitter-HBS 1.0
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The news dataset for discriminating between Bosnian, Croatian and Serbian SETimes.HBS 1.0
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian 1.3
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The GINCO Training Dataset for Web Genre Identification of Documents Out in the Wild ...
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Retweet communities reveal the main sources of hate speech
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In: PLoS One (2022)
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The ParlaMint corpora of parliamentary proceedings
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Erjavec, Tomaž; Ogrodniczuk, Maciej; Osenova, Petya; Ljubešić, Nikola; Simov, Kiril; Pančur, Andrej; Rudolf, Michał; Kopp, Matyáš; Barkarson, Starkaður; Steingrímsson, Steinþór; Çöltekin, Çağrı; de Does, Jesse; Depuydt, Katrien; Agnoloni, Tommaso; Venturi, Giulia; Pérez, María Calzada; de Macedo, Luciana D.; Navarretta, Costanza; Luxardo, Giancarlo; Coole, Matthew; Rayson, Paul; Morkevičius, Vaidas; Krilavičius, Tomas; Darǵis, Roberts; Ring, Orsolya; van Heusden, Ruben; Marx, Maarten; Fišer, Darja
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In: Lang Resour Eval (2022)
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Abstract:
This paper presents the ParlaMint corpora containing transcriptions of the sessions of the 17 European national parliaments with half a billion words. The corpora are uniformly encoded, contain rich meta-data about 11 thousand speakers, and are linguistically annotated following the Universal Dependencies formalism and with named entities. Samples of the corpora and conversion scripts are available from the project’s GitHub repository, and the complete corpora are openly available via the CLARIN.SI repository for download, as well as through the NoSketch Engine and KonText concordancers and the Parlameter interface for on-line exploration and analysis.
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Project Notes
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807381/ https://doi.org/10.1007/s10579-021-09574-0
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