TY - CONF A1 - Schneider, Roman A2 - Calzolari, Nicoletta A2 - Béchet, Frédéric A2 - Blache, Philippe A2 - Choukri, Khalid A2 - Cieri, Christopher A2 - Thierry, Declerck A2 - Goggi, Sara A2 - Isahara, Hitoshi A2 - Maegaard, Bente A2 - Mariani, Joseph A2 - Mazo, Hélène A2 - Moreno, Asuncion A2 - Odijk, Jan A2 - Piperidis, Stelios T1 - A Corpus Linguistic Perspective on Contemporary German Pop Lyrics with the Multi-Layer Annotated "Songkorpus" T2 - Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC), May 11-16, 2020, Palais du Pharo, Marseille, France N2 - Song lyrics can be considered as a text genre that has features of both written and spoken discourse, and potentially provides extensive linguistic and cultural information to scientists from various disciplines. However, pop songs play a rather subordinate role in empirical language research so far - most likely due to the absence of scientifically valid and sustainable resources. The present paper introduces a multiply annotated corpus of German lyrics as a publicly available basis for multidisciplinary research. The resource contains three types of data for the investigation and evaluation of quite distinct phenomena: TEI-compliant song lyrics as primary data, linguistically and literary motivated annotations, and extralinguistic metadata. It promotes empirically/statistically grounded analyses of genre-specific features, systemic-structural correlations and tendencies in the texts of contemporary pop music. The corpus has been stratified into thematic and author-specific archives; the paper presents some basic descriptive statistics, as well as the public online frontend with its built-in evaluation forms and live visualisations. KW - Korpus KW - corpus linguistics KW - under-resourced language varieties KW - pop lyrics KW - German KW - Lyrics KW - Popmusik KW - Sprachvariante KW - Forschungsdaten KW - Deutsch Y1 - 2020 UR - https://ids-pub.bsz-bw.de/frontdoor/index/index/docId/10034 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bsz:mh39-100347 UR - http://www.lrec-conf.org/proceedings/lrec2020/index.html#842 SN - 979-10-95546-34-4 SP - 842 EP - 848 PB - European Language Resources Association CY - Paris ER -