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Crasborn, O., & Sloetjes, H. (2014). Improving the exploitation of linguistic annotations in ELAN. In N. Calzolari, K. Choukri, T. Declerck, H. Loftsson, B. Maegaard, J. Mariani, A. Moreno, J. Odijk, & S. Piperidis (
Eds. ), Proceedings of LREC 2014: 9th International Conference on Language Resources and Evaluation (pp. 3604-3608).Abstract
This paper discusses some improvements in recent and planned versions of the multimodal annotation tool ELAN, which are targeted at improving the usability of annotated files. Increased support for multilingual documents is provided, by allowing for multilingual vocabularies and by specifying a language per document, annotation layer (tier) or annotation. In addition, improvements in the search possibilities and the display of the results have been implemented, which are especially relevant in the interpretation of the results of complex multi-tier searches. -
Crasborn, O., Hulsbosch, M., Lampen, L., & Sloetjes, H. (2014). New multilayer concordance functions in ELAN and TROVA. In Proceedings of the Tilburg Gesture Research Meeting [TiGeR 2013].
Abstract
Collocations generated by concordancers are a standard instrument in the exploitation of text corpora for the analysis of language use. Multimodal corpora show similar types of patterns, activities that frequently occur together, but there is no tool that offers facilities for visualising such patterns. Examples include timing of eye contact with respect to speech, and the alignment of activities of the two hands in signed languages. This paper describes recent enhancements to the standard CLARIN tools ELAN and TROVA for multimodal annotation to address these needs: first of all the query and concordancing functions were improved, and secondly the tools now generate visualisations of multilayer collocations that allow for intuitive explorations and analyses of multimodal data. This will provide a boost to the linguistic fields of gesture and sign language studies, as it will improve the exploitation of multimodal corpora. -
Drude, S., Trilsbeek, P., Sloetjes, H., & Broeder, D. (2014). Best practices in the creation, archiving and dissemination of speech corpora at the Language Archive. In S. Ruhi, M. Haugh, T. Schmidt, & K. Wörner (
Eds. ), Best Practices for Spoken Corpora in Linguistic Research (pp. 183-207). Newcastle upon Tyne: Cambridge Scholars Publishing. -
Sloetjes, H. (2014). ELAN: Multimedia annotation application. In J. Durand, U. Gut, & G. Kristoffersen (
Eds. ), The Oxford Handbook of Corpus Phonology (pp. 305-320). Oxford: Oxford University Press. -
Lausberg, H., & Sloetjes, H. (2013). NEUROGES in combination with the annotation tool ELAN. In H. Lausberg (
Ed. ), Understanding body movement: A guide to empirical research on nonverbal behaviour with an introduction to the NEUROGES coding system (pp. 199-200). Frankfurt a/M: Lang. -
Sloetjes, H. (2013). The ELAN annotation tool. In H. Lausberg (
Ed. ), Understanding body movement: A guide to empirical research on nonverbal behaviour with an introduction to the NEUROGES coding system (pp. 193-198). Frankfurt a/M: Lang. -
Sloetjes, H. (2013). Step by step introduction in NEUROGES coding with ELAN. In H. Lausberg (
Ed. ), Understanding body movement: A guide to empirical research on nonverbal behaviour with an introduction to the NEUROGES coding system (pp. 201-212). Frankfurt a/M: Lang. -
Crasborn, O., Sloetjes, H., Auer, E., & Wittenburg, P. (2006). Combining video and numeric data in the analysis of sign languages with the ELAN annotation software. In C. Vetoori (
Ed. ), Proceedings of the 2nd Workshop on the Representation and Processing of Sign languages: Lexicographic matters and didactic scenarios (pp. 82-87). Paris: ELRA.Abstract
This paper describes hardware and software that can be used for the phonetic study of sign languages. The field of sign language phonetics is characterised, and the hardware that is currently in use is described. The paper focuses on the software that was developed to enable the recording of finger and hand movement data, and the additions to the ELAN annotation software that facilitate the further visualisation and analysis of the data. -
Rohlfing, K., Loehr, D., Duncan, S., Brown, A., Franklin, A., Kimbara, I., Milde, J.-T., Parrill, F., Rose, T., Schmidt, T., Sloetjes, H., Thies, A., & Wellinghof, S. (2006). Comparison of multimodal annotation tools - workshop report. Gesprächforschung - Online-Zeitschrift zur Verbalen Interaktion, 7, 99-123.
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Wittenburg, P., Brugman, H., Russel, A., Klassmann, A., & Sloetjes, H. (2006). ELAN: a professional framework for multimodality research. In Proceedings of the 5th International Conference on Language Resources and Evaluation (LREC 2006) (pp. 1556-1559).
Abstract
Utilization of computer tools in linguistic research has gained importance with the maturation of media frameworks for the handling of digital audio and video. The increased use of these tools in gesture, sign language and multimodal interaction studies has led to stronger requirements on the flexibility, the efficiency and in particular the time accuracy of annotation tools. This paper describes the efforts made to make ELAN a tool that meets these requirements, with special attention to the developments in the area of time accuracy. In subsequent sections an overview will be given of other enhancements in the latest versions of ELAN, that make it a useful tool in multimodality research.
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