Applying computing innovations to bilingual corpus analysis

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 mixedeffects 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.

Triggered codeswitching: Lexical processing and conversational dynamics

“…To facilitate statistical analyses, only conversations between two people were selected, yielding 50 conversations from a total of 100 speakers. Transcription tiers were glossed with a newly developed automated method called the Bangor Autoglosser (Carter, Broersma & Donnelly, 2016;Carter, Broersma, Donnelly & Konopka, 2017;Donnelly & Deuchar, 2011). Complex clauses were split into simple clauses with the newly developed Bangor Automated Clause-Splitter (Carter et al, 2016;Carter et al, 2017), yielding 64,521 clauses.…”