ELAN software

ELAN is computer software, a professional tool to manually and semi-automatically annotate and transcribe audio or video recordings.[1] It has a tier-based data model that supports multi-level, multi-participant annotation of time-based media. It is applied in humanities and social sciences research (language documentation, sign language and gesture research) for the purpose of documentation and of qualitative and quantitative analysis.[2] It is distributed as free and open source software under the GNU General Public License, version 3.

ELAN
Developer(s)The Language Archive
Initial release2000 (2000)
Stable release
5.4 / December 12, 2018 (2018-12-12)
Written inJava
Operating systemWindows, macOS, Linux
PlatformIA-32, x86-64
Available inEnglish
TypeLanguage documentation, qualitative data analysis
LicenseGPLv3
Websitetla.mpi.nl/tools/tla-tools/elan

ELAN is a well established professional-grade software and is widely used in academia.[3][4][5] It has been well received in several academic disciplines, for example, in psychology, medicine, psychiatry, education, and behavioral studies, on topics such as human computer interaction,[6] sign language and conversation analysis,[7][8][9] group interactions,[10] music therapy,[11] bilingualism and child language acquisition,[12] analysis of non-verbal communication and gesture analysis,[13] and animal behavior.[14]

Several third-party tools have been developed to enrich and analyse ELAN data and corpora.[15][16][17][18]

Features

Its features include:

  • Manual and semi-automatic segmentation and annotation
  • Transcription and translation of speech
  • Tier hierarchies
  • Support for multiple media sources
  • Use of controlled vocabularies
  • Complex search
  • XML-based data format

History

ELAN is developed by the Max Planck Institute for Psycholinguistics in Nijmegen. The first version was released around the year 2000 under the name EAT, Eudico Annotation Tool. It was renamed to ELAN in 2002. Since then, two to three new versions are released each year. It is developed in the programming language Java with interfaces to platform native media frameworks developed in C, C++, and Objective-C.

See also

References
  1. Twilhaar, Jan Nijen; Bogaerde, Beppie van den (2016): Concise Lexicon for Sign Linguistics. John Benjamins Publishing Company. p63.
  2. Wittenburg, Peter; Brugman, Hennie; Russel, Albert; Klassmann, Alex; Sloetjes, Han (2006). ELAN: a Professional Framework for Multimodality Research. Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06).
  3. Kong, Anthony Pak Hin (2016). "Multi-linear Transcription and Analysis of Oral Discourse". In Kong, Anthony Pak Hin (ed.). Analysis of Neurogenic Disordered Discourse Production: From Theory to Practice. Routledge. doi:10.4324/9781315639376-11 (inactive 2021-01-20). ISBN 978-1-315-63937-6.CS1 maint: DOI inactive as of January 2021 (link)
  4. Orfanidou, Eleni; Woll, Bencie; Morgan, Gary (2015): Research Methods in Sign Language Studies: A Practical Guide. John Wiley & Sons. p274.
  5. Ruhi, Şükriye; Haugh, Michael; Schmidt, Thomas (2014): Best Practices for Spoken Corpora in Linguistic Research. Cambridge Scholars Publishing. p 188.
  6. Giuliani, Manuel; Mirnig, Nicole; Stollnberger, Gerald; Stadler, Susanne; Buchner, Roland; Tscheligi, Manfred (8 July 2015). "Systematic analysis of video data from different human–robot interaction studies: a categorization of social signals during error situations". Frontiers in Psychology. 6: 931. doi:10.3389/fpsyg.2015.00931. PMC 4495306. PMID 26217266.
  7. Zahedi, M.; Dreuw, P.; Rybach, D.; Bungeroth, J.; Ney, H. (2006). Continuous Sign Language Recognition – Approaches from Speech Recognition and Available Data Resources. CiteSeerX 10.1.1.413.2233.
  8. Crasborn, O. A.; Bank, R. An annotation scheme for the linguistic study of mouth actions in sign languages. hdl:2066/132960.
  9. Manrique, Elizabeth; Enfield, N. J. (15 September 2015). "Suspending the next turn as a form of repair initiation: evidence from Argentine Sign Language". Frontiers in Psychology. 6: 1326. doi:10.3389/fpsyg.2015.01326. PMC 4569752. PMID 26441710.
  10. Orfanos, Stavros; Akther, Syeda Ferhana; Abdul-Basit, Muhammad; McCabe, Rosemarie; Priebe, Stefan (10 February 2017). "Using video-annotation software to identify interactions in group therapies for schizophrenia: assessing reliability and associations with outcomes". BMC Psychiatry. 17 (1): 65. doi:10.1186/s12888-017-1217-2. PMC 5301334. PMID 28183293.
  11. Spiro, Neta; Himberg, Tommi (5 May 2016). "Analysing change in music therapy interactions of children with communication difficulties". Philosophical Transactions of the Royal Society B: Biological Sciences. 371 (1693): 20150374. doi:10.1098/rstb.2015.0374. PMC 4843612. PMID 27069051.
  12. Chen Pichler, Deborah; Hochgesang, Julie A.; Lillo-Martin, Diane; Müller de Quadros, Ronice (2010). "Conventions for sign and speech transcription of child bimodal bilingual corpora in ELAN". Acquiring Sign Language as a First Language. 1 (1): 11–40. doi:10.1075/lia.1.1.03che. PMC 3102315. PMID 21625371.
  13. Kong, Anthony Pak-Hin; Law, Sam-Po; Kwan, Connie Ching-Yin; Lai, Christy; Lam, Vivian (2015). "A Coding System with Independent Annotations of Gesture Forms and Functions during Verbal Communication: Development of a Database of Speech and GEsture (DoSaGE)". Journal of Nonverbal Behavior. 39 (1): 93–111. doi:10.1007/s10919-014-0200-6. PMC 4319117. PMID 25667563.
  14. Ravignani, Andrea; Olivera, Vicente; Gingras, Bruno; Hofer, Riccardo; Hernández, Carlos; Sonnweber, Ruth-Sophie; Fitch, W. (31 July 2013). "Primate Drum Kit: A System for Studying Acoustic Pattern Production by Non-Human Primates Using Acceleration and Strain Sensors". Sensors. 13 (8): 9790–9820. doi:10.3390/s130809790. PMC 3812580. PMID 23912427.
  15. Andersson, Richard; Sandgren, Olof (23 February 2016). "ELAN Analysis Companion (EAC): A Software Tool for Time-course Analysis of ELAN-annotated Data". Journal of Eye Movement Research. 9.
  16. Holle, Henning; Rein, Robert (9 August 2014). "EasyDIAg: A tool for easy determination of interrater agreement". Behavior Research Methods. 47 (3): 837–847. doi:10.3758/s13428-014-0506-7. PMID 25106813. S2CID 43570421.
  17. Kousidis, S.; Pfeiffer, T.; Schlangen, D. (2013). MINT.tools: Tools and adaptors supporting acquisition, annotation and analysis of multimodal corpora (PDF). Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. pp. 2649–2653.
  18. Berez, A.; Cox, C. (2009): CuPED (Customizable Presentation of ELAN Documents). URL: http://sweet.artsrn.ualberta.ca/cdcox/cuped/ (accessed 2017/03/21)

Notes
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