Steffen Remus
Language Technology Group, Department of Informatics, Universität Hamburg, Germany
Hanna Hedeland
Hamburg Centre for Language Corpora (HZSK), Universität Hamburg, Germany
Anne Ferger
Hamburg Centre for Language Corpora (HZSK), Universität Hamburg, Germany
Kristin Bührig
Hamburg Centre for Language Corpora (HZSK), Universität Hamburg, Germany
Chris Biemann
Language Technology Group, Department of Informatics, Universität Hamburg, Germany
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Published in: Selected papers from the CLARIN Annual Conference 2018, Pisa, 8-10 October 2018
Linköping Electronic Conference Proceedings 159:17, p. 166-172
Published: 2019-05-28
ISBN: 978-91-7685-034-3
ISSN: 1650-3686 (print), 1650-3740 (online)
In this paper, we present WebAnno-MM, an extension of the popular web-based annotation tool WebAnno, which is designed for the linguistic annotation of transcribed spoken data with timealigned media files. Several new features have been implemented for our current use case: a novel teaching method based on pair-wise manual annotation of transcribed video data and systematic comparison of agreement between students. To enable the annotation of transcribed spoken language data, apart from technical and data model related challenges, WebAnno-MM offers an additional view to data: a (musical) score view for the inspection of parallel utterances, which is relevant for various methodological research questions regarding the analysis of interactions of spoken content.
