Abstract
In this short communication we show how shallow annotations in large speech corpora can be used to derive data about the temporal aspects of turn taking. Within the limitations of such a speech corpus, we show that the average durations of between-turn pauses made by speakers in a dyad are statistically related, and our data suggest the existence of gender effects in the temporal aspects of turn taking. Also, clear differences in turn taking behaviour between face-to-face and telephone dialogues can be detected using shallow analyses. We discuss the most important limitations imposed by the shallowness of the annotations in large corpora, and the possibility for enriching those annotations in a semi-automatic iterative manner.
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