Abstract
This paper investigates elicited data from a usage-based perspective. First, elicited data are analyzed for frequent usage collocations. In general, elicited data do not contain these target conversational collocations, and it is argued that a usage-based model, which includes autonomous storage features, predicts this aspect of elicited data. Secondly, the paper explores for a small subset of the elicited data the extent to which speakers employ Idiom Principle or Open Choice processing in completing an elicitation task. Here, again, it is argued that the data are consistent with usage-based model constructs, even in a context where Open Choice processing might be expected.
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