New ways of analyzing complementizer drop in Montréal French: Exploration of cognitive factors

Abstract In this paper, we return to the well-studied yet still puzzling phenomenon of complementizer omission in a large spoken corpus of Quebec French, with the help of modern computational methods for annotation and mixed effects logistic regression models. Supporting previous work, our study reveals that complementizer que omission is conditioned by social factors and grammatical factors; however, we also find that que omission is conditioned by cognitive factors such as information density. Our paper thus illustrates an important way in which older variationist corpora can continue to be valuable resources for studying fine-grained patterns of variation, particularly in their cognitive aspects.