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Presenting the Bangor Autoglosser and the Bangor Automated Clause-Splitter

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Broersma,  Mirjam
Other Research, MPI for Psycholinguistics, Max Planck Society;
Center for Language Studies , External Organizations;

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Carter_etal_2018.pdf
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Citation

Carter, D. M., Broersma, M., Donnelly, K., & Konopka, A. E. (2018). Presenting the Bangor Autoglosser and the Bangor Automated Clause-Splitter. Digital Scholarship in the Humanities, 33(1), 21-28. doi:10.1093/llc/fqw065.


Cite as: https://hdl.handle.net/21.11116/0000-0001-2882-F
Abstract
Until recently, corpus studies of natural bilingual speech and, more specifically, codeswitching in bilingual speech have used a manual method of glossing, partof- speech tagging, and clause-splitting to prepare the data for analysis. In our article, we present innovative tools developed for the first large-scale corpus study of codeswitching triggered by cognates. A study of this size was only possible due to the automation of several steps, such as morpheme-by-morpheme glossing, splitting complex clauses into simple clauses, and the analysis of internal and external codeswitching through the use of database tables, algorithms, and a scripting language.