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Generative complexity and psycholinguistics: divorce American style

Authors: Fortis, Jean-Michel;

Generative complexity and psycholinguistics: divorce American style

Abstract

In the American scientific context of the 1950s, the confluence of information theory and behavioristic views seemed to hold the promise of a truly interdisciplinary psycholinguistics. However, the prospects opened up by this confluence were soon ruined by the advent of transformational grammar (TG). For reasons detailed in this paper, such was the attraction of TG that it became the nearly exclusive source of psychological hypotheses on linguistic processing. Correlating transformational complexity with measures of performance, such as response times, set the new methodological trend. Problems quickly crept in: psychologists could not solely rely on linguistic theory to account for their data and had to make room for heuristics and biases. Evidence for transformational theory was difficult to come by and TG was evolving at a pace psychologists had difficulty sustaining. On their part, linguists were reluctant to submit their constructs to psychological testing, so that the relationship of psychology to linguistics justifiably seemed to be one-sided. In all likelihood, countering the threat posed by psycholinguistics and defending the autonomy of linguistics underpinned Chomsky’s affirmation that linguistic theory, with its own methods, lays a claim to psychological reality and does not need an auxiliary science. Divorce was inevitable, but this short-lived episode of interdisciplinary research had significant consequences both in linguistics and in psychology. These consequences are dealt with in the last part of this paper.

Country
France
Keywords

transformational grammar, behaviorism, generative grammar, history of linguistics, history of psychology, [SHS] Humanities and Social Sciences, psycholinguistics

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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