This work was funded in part by an EPSRC Platform Grant awarded to the NLG group at Aberdeen.Publisher PD

Green, Matthew James

van Deemter, Kees

English

This work was funded in part by an EPSRC Platform Grant awarded to the NLG group at Aberdeen

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NLG systems that generate text from numerical data must de- cide between alternative linguistic  forms of the given numeri- cal content, such as whether  to use a precise or a vague expres- sion. Currently there is little empirical data for these systems to draw on when making these decisions.  We performed ex- periments with human readers in which participants responded to instructions in the form of referring expressions, where we manipulated whether the instruction  used a vague or a crisp referring expression, in order to test the hypothesis that vague- ness reduces processing  costs for the comprehender.  Results indicate that people respond more quickly and accurately to vague linguistic expressions than to crisp numerical expres- sions, but that this benefit also accrues to precise terms that avoid numbers

Vagueness as Cost Reduction : An Empirical Test

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