Volume 17, Issue 2
  • ISSN 1018-2101
  • E-ISSN: 2406-4238


This paper takes two behavioural principles which have been suggested as explanatory models for human conversation, and tests them on a corpus of task-oriented dialogues (the HCRC Map Task Corpus). The principles chosen are Clark’s Collaborative Theory and Shadbolt’s Principle of Parsimony, which are both interested in notions of although they come from entirely different subfields of linguistics. The aim of the study is to compare the explanatory power of each of these principles when they are applied to real language data. Each of the principles was converted into a set of representative hypotheses about the types of behaviour which they would predict in dialogue. Then, a way of coding dialogue behaviour was developed, in order that the hypotheses could be tested on a suitably sized dataset. In particular, the coding system tried to distinguish between the levels of effort which participants used in their utterances. Finally, a series of statistical tests was undertaken to test the predictions of the hypotheses on the information generated by the coding system. The strongest support was found for the Principle of Parsimony and its associate Principle of Least Individual Effort, at the expense of the Collaborative Principle and the Principle of Least Collaborative Effort. There is certainly evidence that speakers try to minimise effort, but this seems to be occurring on an individual basis – which can be to the cost of the overall dialogue and task performance – rather than on a collaborative basis.


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