Language: Spanish / Original context has metadata only: false - LINDAT/CLARIAH-CZ Catalog Search Results

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41. El Misionero Checo Miguel Sabel y el comercio del cristal de Bohemia en América :

Creator:: Štěpánek, Pavel,
Type:: text and studie
Subject:: Dějiny křesťanské církve, Sabel, Miguel,, řád, jezuité, misionáři, sklo, ikonografie, světové dějiny 1789-1918, Venezuela, jednotlivci (církevní dějiny), obchod, and české země 1620-1740
Language:: Spanish
Rights:: unknown

42. Engineering job ads corpus

Creator:: Cardenas Acosta, Ronald, Bello Medina, Kevin, Coronado, Alberto, and Villota, Elizabeth
Publisher:: National University of Engineering, Peru
Type:: text and corpus
Subject:: job-advertisement, PoS tagging, and text corpora
Language:: Spanish
Description:: The corpus presented consists of job ads in Spanish related to Engineering positions in Peru. The documents were preprocessed and annotated for POS tagging, NER, and topic modeling tasks. The corpus is divided in two components: - POS tagging/ NER training data: Consisting of 800 job ads, each one tokenized and manually annotated with POS tag information (EAGLE format) and Entity Label in BIO format. - Topic modeling training data: containing 9000 documents stripped from stopwords. Comes in two formats: * Whole text documents: containing all the information originally posted in the ad. * Extracted chunks documents: containing chunks extracted by custom NER models (expected skills, tasks to perform, and preferred major), as described in Improving Topic Coherence Using Entity Extraction Denoising (to appear)
Rights:: Creative Commons - Attribution 4.0 International (CC BY 4.0), http://creativecommons.org/licenses/by/4.0/, and PUB

43. esCorpius: A Massive Spanish Crawling Corpus

Creator:: Asier, Gutiérrez-Fandiño, David, Pérez-Fernández, Jordi, Armengol-Estapé, David, Griol, and Zoraida, Callejas
Publisher:: LHF Labs
Type:: text and corpus
Subject:: spanish crawling corpus, crawling corpus, spanish corpus, massive corpus, large corpus, clean, and deduplicated
Language:: Spanish
Description:: In the recent years, Transformer-based models have lead to significant advances in language modelling for natural language processing. However, they require a vast amount of data to be (pre-)trained and there is a lack of corpora in languages other than English. Recently, several initiatives have presented multilingual datasets obtained from automatic web crawling. However, the results in Spanish present important shortcomings, as they are either too small in comparison with other languages, or present a low quality derived from sub-optimal cleaning and deduplication. In this paper, we introduce esCorpius, a Spanish crawling corpus obtained from near 1 Pb of Common Crawl data. It is the most extensive corpus in Spanish with this level of quality in the extraction, purification and deduplication of web textual content. Our data curation process involves a novel highly parallel cleaning pipeline and encompasses a series of deduplication mechanisms that together ensure the integrity of both document and paragraph boundaries. Additionally, we maintain both the source web page URL and the WARC shard origin URL in order to complain with EU regulations. esCorpius has been released under CC BY-NC-ND 4.0 license.
Rights:: Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), http://creativecommons.org/licenses/by-nc-nd/4.0/, and PUB

44. Europarl QTLeap WSD/NED corpus

Creator:: Agirre, Eneko, Branco, António, Popel, Martin, and Simov, Kiril
Publisher:: University of the Basque Country, UPV/EHU, Faculty of Science, Univeristy of Lisbon, FCUL, Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), and Bulgarian Academy of Sciences, IICT-BAS
Type:: text and corpus
Subject:: annotated corpus and multilingual
Language:: Basque, Bulgarian, Czech, English, Portuguese, and Spanish
Description:: This corpora is part of Deliverable 5.5 of the European Commission project QTLeap FP7-ICT-2013.4.1-610516 (http://qtleap.eu). The texts are sentences from the Europarl parallel corpus (Koehn, 2005). We selected the monolingual sentences from parallel corpora for the following pairs: Bulgarian-English, Czech-English, Portuguese-English and Spanish-English. The English corpus is comprised by the English side of the Spanish-English corpus. Basque is not in Europarl. In addition, it contains the Basque and English sides of the GNOME corpus. The texts have been automatically annotated with NLP tools, including Word Sense Disambiguation, Named Entity Disambiguation and Coreference resolution. Please check deliverable D5.6 in http://qtleap.eu/deliverables for more information.
Rights:: Creative Commons - Attribution 4.0 International (CC BY 4.0), http://creativecommons.org/licenses/by/4.0/, and PUB