Edited by Anahí Alba de la Fuente, Elena Valenzuela and Cristina Martínez Sanz
[Studies in Bilingualism 51] 2016
► pp. 281–301
Applying computing innovations to bilingual corpus analysis
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.
- 2.Triggered codeswitching
- 3.The Miami, Patagonia, and Siarad corpora
- 4.Automatic glossing
- 5.Data preparation
- 6.Data analysis and results
- 6.1Data analysis
- 7.Tips and tricks for processing corpus data
Cited by 2 other publications
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