This paper describes a novel methodology for the detection of speech patterns. Lagged co-occurrence analysis (LCA) utilizes the likelihood that a target word will be uttered in a certain position after a trigger word. Using this methodology, it is possible to uncover a statistically significant repetitive temporal patterns of word use, compared to…

The dominant viewpoint regarding phonologically driven speech errors is that segments are the units responsible behind the errors. The goal of this paper is to illustrate the point that other potential candidates for explaining these speech errors, which have gone largely unnoticed, provide a better explanatory framework for speech errors than do…