RapCor, Francophone Rap Songs Text Corpus
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F20%3A00117499" target="_blank" >RIV/00216224:14210/20:00117499 - isvavai.cz</a>
Result on the web
<a href="https://nlp.fi.muni.cz/raslan/raslan20.pdf#page=103" target="_blank" >https://nlp.fi.muni.cz/raslan/raslan20.pdf#page=103</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
RapCor, Francophone Rap Songs Text Corpus
Original language description
The paper introduces the RapCor corpus, which is a specific text corpus for French, based on francophone rap songs’ texts from the last three decades when rap music became one of most popular music genres. An overview of more than ten years of rap corpora building presents our motivations, text processing methods, annotation decisions, as well as achievements and problematic issues. The published part of rap corpora, available in Sketch Engine manager for interdisciplinary research, the RapCor 1288, consists of 709,057 words of 1288 francophone rappers’ texts. It had been used mainly for the detection and longitudinal observation of so-called “identitary neologisms”, i.e. expressions emerging from communication between peers, motivated by search for group belonging, playfulness and expressivity. Rappers’ language is also a valuable resource for investigating metaphors and idioms that have been formed by assigning a new meaning to existing language items. The main goal of this largely substandard linguistic corpora is to uncover the phonemic and semantic innovations and trends in modern French.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
60202 - Specific languages
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2020
ISBN
9788026316008
ISSN
2336-4289
e-ISSN
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Number of pages
8
Pages from-to
95-102
Publisher name
Tribun EU
Place of publication
Brno
Event location
Brno (online)
Event date
Dec 8, 2020
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000655471300010