Summary of the paper

Title FOLKER: An Annotation Tool for Efficient Transcription of Natural, Multi-party Interaction
Authors Thomas Schmidt and Wilfried Schütte
Abstract This paper presents FOLKER, an annotation tool developed for the efficient transcription of natural, multi-party interaction in a conversation analysis framework. FOLKER is being developed at the Institute for German Language in and for the FOLK project, whose aim is the construction of a large corpus of spoken present-day German, to be used for research and teaching purposes. FOLKER builds on the experience gained with multi-purpose annotation tools like ELAN and EXMARaLDA, but attempts to improve transcription efficiency by restricting and optimizing both data model and tool functionality to a single, well-defined purpose. The tool’s most important features in this respect are the possibility to freely switch between several editable views according to the requirements of different steps in the annotation process, and an automatic syntax check of annotations during input for their conformance to the GAT transcription convention. This paper starts with a description of the GAT transcription conventions and the data model underlying the tool. It then gives an overview of the tool functionality and compares this functionality to that of other widely used tools.
Topics Corpus (creation, annotation, etc.), Discourse annotation, representation and processing, Usability, user satisfaction
Full paper FOLKER: An Annotation Tool for Efficient Transcription of Natural, Multi-party Interaction
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Bibtex @InProceedings{SCHMIDT10.18,
  author = {Thomas Schmidt and Wilfried Schütte},
  title = {FOLKER: An Annotation Tool for Efficient Transcription of Natural, Multi-party Interaction},
  booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
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