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1 Chapter 1. Introduction: status and definition of compounding ...

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2. Since there is no clear-cut boundary between acceptable <strong>and</strong> unacceptable meanings the<br />

predictability <strong>of</strong> the meanings <strong>of</strong> naming units is a cline.<br />

Then, the Predictability Rate <strong>of</strong> a particular reading <strong>of</strong> a novel, context-free naming unit<br />

can be calculated as its frequency <strong>of</strong> occurrence weighted for the scores assigned:<br />

(18)<br />

PR<br />

r<br />

R<br />

max<br />

p<br />

P<br />

max<br />

where r = the number <strong>of</strong> informants identifying a particular meaning as acceptable<br />

Rmax = the total number <strong>of</strong> informants<br />

p = the sum total <strong>of</strong> the points assigned to a given meaning by all informants (on a scale<br />

from 1 to 10, where 10 st<strong>and</strong>s for the highest acceptability <strong>of</strong> the meaning)<br />

Pmax = the maximum possible number <strong>of</strong> points assignable by all informants<br />

For example, in my (2005a) experiments, the reading ‗a book for babies (fairy tales,<br />

rhymes, pictures; drawings)‘ <strong>of</strong> the naming unit baby book was proposed by 38 out <strong>of</strong> 40<br />

informants, i.e., the frequency <strong>of</strong> occurrence <strong>of</strong> this reading is 38/40 = 0.95. The scores assigned<br />

to this reading are 306 points <strong>of</strong> the total <strong>of</strong> 400 assignable points, which is 0.765. The resulting<br />

PR <strong>of</strong> this particular reading is therefore 0.727. It is much higher than the PR <strong>of</strong>, for example,<br />

‗a naive, babyish book‘, also proposed for this sample naming unit, because it was only proposed<br />

by 16 out <strong>of</strong> 40 informants (16/40 = 0.40), <strong>and</strong> its frequency <strong>of</strong> occurrence was merely 0.213,<br />

which gives the PR <strong>of</strong> 0.085.<br />

By implication, this method <strong>of</strong> calculation <strong>of</strong> PR makes it possible to evaluate the strength <strong>of</strong><br />

various readings proposed for a novel, context-free word, <strong>and</strong> thus determine the degree <strong>of</strong> their<br />

predictability.<br />

457

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