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Seeing clearly: Frame Semantic, Psycholinguistic, and Cross ...

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CHAPTER 4. PSYCHOLINGUISTIC EXPERIMENTS 139<br />

own spontaneous categories), etc. There is no reason to suppose that all speakers<br />

have exactly the same set of senses, but it is likely that there will be a great deal of<br />

overlap, which is essential to communication in general.<br />

Since see is a highly polysemous, high-frequency word, we expect that our subjects<br />

will produce more senses than Jorgensen's subjects, on average.<br />

Since the senses appear to have a complex structure, some senses being more cen-<br />

tral than others, we would expect to nd broad, although not necessarily perfect,<br />

agreement among speakers as to which are the central senses.<br />

In a cross-modal priming experiment using a lexical decision task, in accord with<br />

Williams's (1992) ndings, we would predict that sentences which provide a context<br />

for one sense of see would facilitate (prime) responses to a probe consisting of the<br />

keyword for that sense of see, compared to a non-word probes; e.g., after the sentence<br />

Maria saw the cat on the couch, wewould expect subjects to respond to the keyword<br />

eye more quickly than to a non-word.<br />

Likewise, on cross-modal priming using a categorial judgement task, we would predict<br />

that sentences which provide a context for one sense of see would facilitate responses<br />

to a probe consisting of the keyword for that sense of see, relative to probes consisting<br />

of keywords for other senses.<br />

Also on the basis of Williams (1992), we would predict di erential cross-sense priming<br />

e ects, so that sentences biased toward non-central senses of see would facilitate<br />

probes for central senses more than conversely.<br />

4.2 Experiment 1<br />

As a rst step toward testing these hypotheses, we conducted an experiment to<br />

answer the following questions:<br />

If non-linguist native speakers of English are given a set of sentences containing see<br />

r<strong>and</strong>omly selected from a corpus, <strong>and</strong> asked to sort them into their own categories,<br />

to what degree will their categorizations be similar to each other? Will there be<br />

\lumpers" <strong>and</strong> \splitters", that is, some subjects who tend to make few distinctions<br />

<strong>and</strong> other subjects who tend to make many ne distinctions?

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