TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Lange, Herbert
A1  - Aznar, Jocelyn
ED  - Calzolari, Nicoletta
ED  - Béchet, Frédéric
ED  - Blache, Philippe
ED  - Choukri, Khalid
ED  - Cieri, Christopher
ED  - Declerck, Thierry
ED  - Goggi, Sara
ED  - Isahara, Hitoshi
ED  - Maegaard, Bente
ED  - Mariani, Joseph
ED  - Mazo, Hélène
ED  - Odijk, Jan
ED  - Piperidis, Stelios
T1  - RefCo and its checker: improving language documentation corpora’s reusability through a semi-automatic review process
T2  - Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). Marseille, 20-25 June 2022
N2  - The QUEST (QUality ESTablished) project aims at ensuring the reusability of audio-visual datasets (Wamprechtshammer et al., 2022) by devising quality criteria and curating processes. RefCo (Reference Corpora) is an initiative within QUEST in collaboration with DoReCo (Documentation Reference Corpus, Paschen et al. (2020)) focusing on language documentation projects. Previously, Aznar and Seifart (2020) introduced a set of quality criteria dedicated to documenting fieldwork corpora. Based on these criteria, we establish a semi-automatic review process for existing and work-in-progress corpora, in particular for language documentation. The goal is to improve the quality of a corpus by increasing its reusability. A central part of this process is a template for machine-readable corpus documentation and automatic data verification based on this documentation. In addition to the documentation and automatic verification, the process involves a human review and potentially results in a RefCo certification of the corpus. For each of these steps, we provide guidelines and manuals. We describe the evaluation process in detail, highlight the current limits for automatic evaluation and how the manual review is organized accordingly.
KW  - QUEST
KW  - reusability
KW  - quality checking
KW  - language resources
KW  - oral language
KW  - Korpus <Linguistik>
KW  - Dokumentation
KW  - Datensatz
KW  - Zertifizierung
KW  - Richtlinie
KW  - Sprachdaten
KW  - Gesprochene Sprache
KW  - Annotation
KW  - Computerlinguistik
KW  - annotated corpora
KW  - language documentation
Y1  - 2022
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-114592
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-114592
UR  - https://aclanthology.org/2022.lrec-1.291
SN  - 979-10-95546-72-6
SB  - 979-10-95546-72-6
SP  - 2721
EP  - 2729
PB  - European Language Resources Association (ELRA)
CY  - Paris
ER  -