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Verb imageability as a probe for distinguishing regular and irregular past-tense computation

 Michael T. Ullman and Roumyana Izvorski
  
 

Abstract:
We found that imageability ratings of irregular but not regular English verbs correlated with their past-tense acceptability ratings. We argue that the data suggest that irregular but not regular past-tense forms are retrieved from memory.

Competing theories of the computational basis of language have recently focused on regular and irregular morphology. One view posits that all but the most arbitrary morphological transformations are computed by mental rules (Halle & Mohanan, 1985). A second posits that rules are only descriptive entities, and that all transformations are computed in an associative memory that can be modeled by connectionist networks (Rumelhart & McClelland, 1986; Joanisse & Seidenberg, 1998). A third proposes a hybrid dual-system model, with regulars computed in real-time by the application of mental rules, and irregulars dependent upon associative memory (Pinker, 1991).

Words whose meanings are highly concrete, or are easily imaged, are better remembered than those that are less concrete or imageable (Paivio, 1995). If past-tense forms are retrieved from memory, their computation should be sensitive to verb imageability: Past-tenses of verbs that are easily imaged should be better remembered than those with low imageability. If instead past-tenses are produced in real-time by a mental rule, they should show no such imageability effects, once access to their stem forms is held constant.

Native English-speaking adults gave stem familiarity and past-tense acceptability ratings, and verb imageability ratings, to monosyllabic regular and irregular verbs. Each past-tense form was preceded by its stem, precluding the necessity to retrieve the stem from memory in order to compute its past-tense.

Imageability ratings correlated with past-tense ratings of irregulars (p<.05) but not regulars (p>.10), partialing out past-tense frequency. Imageability ratings correlated with stem ratings of both verb types (p<.05), partialing out stem frequency - as expected, since the stems must be stored.

The findings suggest that the computation of irregular but not regular past tense is dependent upon lexical-conceptual memory (Pinker, 1991; Ullman et al., 1997). The results are incompatible with connectionist models with no semantic representations (Rumelhart & McClelland, 1986), and pose a challenge to models that posit the real-time rule-based computation of irregular forms (Halle & Mohanan, 1985). The data may be inconsistent with connectionist models with distinct representations for semantics and phonology (Joanisse & Seidenberg, 1998; Plaut et al., 1996), because both verb types require semantic representations, and therefore they might be expected to show similar imageability effects. Finally, the findings demonstrate that conceptual measures, and imageability in particular, can be used as an investigative tool for probing the computational basis of linguistic forms.

References

Halle, M., & Mohanan, K. P. (1985). Segmental phonology of modern English. Linguistic Inquiry, 16(1), 57-116.
Joanisse, M. F., & Seidenberg, M. S. (1998). Dissociations between rule-governed forms and exceptions: A connectionist account. University of Southern California.
Paivio, A., (1995). Imagery and memory. In M. S. Gazzaniga (Ed.), The Cognitive Neurosciences, pp. 977-986. Cambridge, MA: MIT Press.
Pinker, S. (1991). Rules of language. Science, 253, 530-535.
Plaut, D. C., et al. (1996). Understanding normal and impaired word reading: Computational principles in quasi-regular domains. Psychological Review, 103(1), 56-115.
Rumelhart, D. E., & McClelland, J. L. (1986). On learning the past tenses of English verbs. In J. L. McClelland, D. E. Rumelhart, & PDP Research Group (Eds.), Parallel Distributed Processing: Explorations in the Microstructures of Cognition, pp. 216-271. Cambridge, MA: Bradford/MIT Press.

 
 


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