EXMARaLDA and the FOLK tools — two toolsets for transcribing and annotating spoken language

Thomas Schmidt


Abstract
This paper presents two toolsets for transcribing and annotating spoken language: the EXMARaLDA system, developed at the University of Hamburg, and the FOLK tools, developed at the Institute for the German Language in Mannheim. Both systems are targeted at users interested in the analysis of spontaneous, multi-party discourse. Their main user community is situated in conversation analysis, pragmatics, sociolinguistics and related fields. The paper gives an overview of the individual tools of the two systems ― the Partitur-Editor, a tool for multi-level annotation of audio or video recordings, the Corpus Manager, a tool for creating and administering corpus metadata, EXAKT, a query and analysis tool for spoken language corpora, FOLKER, a transcription editor optimized for speed and efficiency of transcription, and OrthoNormal, a tool for orthographical normalization of transcription data. It concludes with some thoughts about the integration of these tools into the larger tool landscape.
Anthology ID:
L12-1295
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
236–240
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/529_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Thomas Schmidt. 2012. EXMARaLDA and the FOLK tools — two toolsets for transcribing and annotating spoken language. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 236–240, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
EXMARaLDA and the FOLK tools — two toolsets for transcribing and annotating spoken language (Schmidt, LREC 2012)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/529_Paper.pdf