{"data":{"id":"10.5281/zenodo.1484393","type":"dois","attributes":{"doi":"10.5281/zenodo.1484393","prefix":"10.5281","suffix":"zenodo.1484393","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Martin, Fanny","nameType":"Personal","givenName":"Fanny","familyName":"Martin","affiliation":["Laboratoire Habiter le Monde - HM - EA 4278 Université de Picardie Jules Verne, Amiens, France"],"nameIdentifiers":[]},{"name":"Rey, Christophe","nameType":"Personal","givenName":"Christophe","familyName":"Rey","affiliation":["Laboratoire Habiter le Monde - HM - EA 4278 Université de Picardie Jules Verne, Amiens, France"],"nameIdentifiers":[]},{"name":"Reynés, Philippe","nameType":"Personal","givenName":"Philippe","familyName":"Reynés","affiliation":["Laboratoire Habiter le Monde - HM - EA 4278 Université de Picardie Jules Verne, Amiens, France"],"nameIdentifiers":[]}],"titles":[{"title":"Annotated Corpus For Picard"}],"publisher":"Zenodo","container":{},"publicationYear":2018,"subjects":[{"subject":"Corpus"},{"subject":"Linguistics"},{"subject":"FOS: Languages and literature","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Natural Language Processing"},{"subject":"Picard"},{"subject":"Part-of-speech"},{"subject":"Lemma"}],"contributors":[],"dates":[{"date":"2018-02-13","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsCitedBy","relatedIdentifier":"http://hal.archives-ouvertes.fr/hal-01704806","relatedIdentifierType":"URL"},{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.1172575","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution Share-Alike 4.0","rightsUri":"https://creativecommons.org/licenses/by-sa/4.0"},{"rights":"Open Access","rightsUri":"info:eu-repo/semantics/openAccess"}],"descriptions":[{"description":"This corpus contains a collection of texts in Picard which were manually annotated with parts-of-speech, lemmas, translations into French and location entities. The corpus was produced in the context of the RESTAURE project, funded by the French ANR. The current version of the corpus contains 25 documents. The annotation process is detailed in the following article: http://hal.archives-ouvertes.fr/hal-01704806\n\nThe untokenised and unannotated versions of the documents are found in the “extraits_reference_bruts” folder when available. The annotated versions of the documents are found in the “extraits_reference_annotes” folder. They are provided in a CSV format with the following columns:\n\n\n\tword form\n\tpart-of-speech\n\tword lemma\n\ttranslation into French\n\t4 columns represent the annotated of location names (Quaero categories)\n\t2 columns indicate whether the token is part of a term (composed noun or locution for example)\n\n\nIf the lemma or French translation for a token is the same as the x\u003csup\u003eth\u003c/sup\u003e token before, it is annotated with \"IDEM-x\".\n\nThe csv file \"liste_textes_distribues\" contains details for each text: author, title of the book, publishing year, code, genre and linguistic area.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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