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Research data . Dataset . 2018

OcOr : a Corpus of Occitan Oral Narratives

Vergez-Couret, Marianne; Carruthers, Janice;
Open Access
Occitan (post 1500); Provençal
Abstract
OcOr is a corpus of Occitan oral narratives. This corpus is one of the outputs of the project ExpressioNarration, financed by a Marie Sklodovska Curie Fellowship (2016-2018, n°655034). It includes three sub-corpora, constituted as follows: • OOT (Occitan, oral, traditional): stories drawn from fieldwork among native speakers in the Occitan domain, recorded by the COMDT (Conservatoire Occitan des Musiques et Danses Traditionnelles - http://www.comdt.org/), transcribed and digitised for the project by the researchers. • OWT (Occitan, written, traditional): published literary stories, digitised by and for the project by the researchers. These are stories collected from oral sources and produced in a publishable written version. • OOC (Occitan, oral, contemporary): stories recounted by contemporary artists, taken from existing recordings and two Toulouse storytelling events organised by the project in collaboration with the Institut d'Etudes Occitanes (IEO), in 2016. The stories were recorded during the events and subsequently transcribed and digitised by the researchers. The overall aim of the ExpressioNarration project was to use contemporary linguistic theory to explore the relationship between language and orality, with a specific focus on key temporal features of oral narrative in Occitan, including ‘tenses’, ‘connectives' and 'frame introducers'. These features were thus annotated in the three sub-corpora. All the sub-corpora are disseminated in XML format (TEI-P5) and PDF. Each story is available as an annotated XML document, an annotated PDF and a stripped PDF document. Full metadata appears in the Header of each XML document, with information on speakers (e.g. gender, age, place of origin, education, languages spoken), variety of Occitan (or dialect), authors/editorial information (in the case of OWT) and story-type when relevant (i.e. the Aarne Thompson category). For each sub-corpus, a user-friendly summary of this metadata is also available in an Excel spreadsheet: these are contained in the OcOr zipfile. The annotation system was designed by the researchers and is given in full in the Header of each XML document. For further information on the constitution of the corpus and discussion of the theoretical and methodological issues relating to data collection, digitisation and annotation, please read the following article in the journal Corpus, written by the researchers and entitled ‘Méthodologie pour la constitution d’un corpus comparatif de narration orale en Occitan : objectifs, défis, solutions’, available at: https://journals.openedition.org/corpus/3490.
{"references": ["Janice Carruthers et Marianne Vergez-Couret, \u00ab M\u00e9thodologie pour la constitution d'un corpus comparatif de narration orale en Occitan : objectifs, d\u00e9fis, solutions \u00bb, Corpus [En ligne], 18 | 2018, mis en ligne le 09 juillet 2018, consult\u00e9 le 08 octobre 2018. URL : http://journals.openedition.org/corpus/3490", "Vergez-Couret M. (2017). \u00ab Constitution et annotation d'un corpus \u00e9crit de contes et r\u00e9cits en occitan \u00bb, Analyses et m\u00e9thodes formelles pour les humanit\u00e9s num\u00e9riques, ISTE OpenScience, 1-1, publication en ligne : https://www.openscience.fr/Constitution-et-annotation-d-un-corpus-ecrit-de-contes-et-recits-en-occitan."]}
Subjects

occitan, oral narrative, narration, storytelling, folktale, connective, frame, tense

Related Organizations
Funded by
EC| EXPRESSIONARRATION
Project
EXPRESSIONARRATION
Narration, linguistic expression and discourse structure: explorations of orality in Occitan and French
  • Funder: European Commission (EC)
  • Project Code: 655034
  • Funding stream: H2020 | MSCA-IF-EF-ST
,
EC| EXPRESSIONARRATION
Project
EXPRESSIONARRATION
Narration, linguistic expression and discourse structure: explorations of orality in Occitan and French
  • Funder: European Commission (EC)
  • Project Code: 655034
  • Funding stream: H2020 | MSCA-IF-EF-ST
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