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A high speed transcription interface for annotating primary linguistic data

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons42

Dingemanse,  Mark
Language and Cognition Department, MPI for Psycholinguistics, Max Planck Society;
Human Sociality and Systems of Language Use, MPI for Psycholinguistics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons1217

Hammond,  Jeremy
Syntax, Typology, and Information Structure, MPI for Psycholinguistics, Max Planck Society;
International Max Planck Research School for Language Sciences, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons40294

Stehouwer,  Herman
The Language Archive, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons4472

Somasundaram,  Aarthy
The Language Archive, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons39383

Drude,  Sebastian
The Language Archive, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL;

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Volltexte (frei zugänglich)

W12-1002.pdf
(Verlagsversion), 311KB

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Zitation

Dingemanse, M., Hammond, J., Stehouwer, H., Somasundaram, A., & Drude, S. (2012). A high speed transcription interface for annotating primary linguistic data. In Proceedings of 6th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (pp. 7-12). Stroudsburg, PA: Association for Computational Linguistics.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-4A28-F
Zusammenfassung
We present a new transcription mode for the annotation tool ELAN. This mode is designed to speed up the process of creating transcriptions of primary linguistic data (video and/or audio recordings of linguistic behaviour). We survey the basic transcription workflow of some commonly used tools (Transcriber, BlitzScribe, and ELAN) and describe how the new transcription interface improves on these existing implementations. We describe the design of the transcription interface and explore some further possibilities for improvement in the areas of segmentation and computational enrichment of annotations.