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In:Language Acquisition Beyond Parameters: Studies in honour of Juana M. Liceras
Edited by Anahí Alba de la Fuente, Elena Valenzuela and Cristina Martínez Sanz
[Studies in Bilingualism 51] 2016
► pp. 281–301

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Applying computing innovations to bilingual corpus analysis

 | University of British Columbia | Centre for Research on Bilingualism, Bangor University
 | Centre for Language Studies, Radboud University | Max Planck Institute for Psycholinguistics
 | Centre for Research on Bilingualism, Bangor University
Published online: 16 December 2016
DOI logo with link
https://doi.org/10.1075/sibil.51.11car
Abstract
With current innovations in corpus analysis, it is now possible to extract and analyze large amounts of monolingual and bilingual data in minutes, as opposed to the numerous hours previously needed to manually analyze a much smaller quantum of data. In this chapter, we review innovative techniques in bilingual corpus building and analysis, which include the use of automated glossing to allow the extraction of data that can then be statistically analyzed using mixed-effects models. We discuss the application of these techniques, among others, and provide examples from three bilingual corpora. We end by suggesting how researchers may benefit from the increasingly powerful computing capability that is now available.
Article outline
  • 1.Introduction
  • 2.Triggered codeswitching
  • 3.The Miami, Patagonia, and Siarad corpora
    • 3.1Participants
    • 3.2Transcription
  • 4.Automatic glossing
  • 5.Data preparation
  • 6.Data analysis and results
    • 6.1Data analysis
    • 6.2Results
  • 7.Tips and tricks for processing corpus data
  • 8.Conclusions
  • Acknowledgements
  • Notes
  • References
References (41)
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Cited by (2)

Cited by two other publications

Broersma, Mirjam, Diana Carter, Kevin Donnelly & Agnieszka Konopka
2020. Triggered codeswitching: Lexical processing and conversational dynamics. Bilingualism: Language and Cognition 23:2 ► pp. 295 ff. DOI logo
[no author supplied]
2018.  Building and Using the Siarad Corpus [Studies in Corpus Linguistics, 81], DOI logo

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