Specification
interacts with phonologic similarity to determine
complexity of
pre-motor encoding during speech production
By M.A.
Rogers and H.L. Storkel
One phenomenon that offers some insight into
the nature of the units that are assembled during pre-motor stages of speech
production is the Phonologic Similarity
Effect. Similar sound structure
among words has been shown to interfere with processing across a wide range of
disparate tasks including tasks that do and do not require an overt speech
response suggesting that the phonologic similarity effect arises during
pre-motor stages of speech production and not during execution. Interference effects due to successive
utterances sharing phonologic features provide one source of evidence that
spoken language is assembled from sublexical units
(not whole-word units) and that assembly of these units is required for speech
production. The effects of phonologic similarity on
speech production latencies were investigated to explore the role of segmental
specification during pre-motor stages of production. Speech onset latencies were obtained as
participants rapidly produced
monosyllabic words in response to visual presentation. The featural
similarity of word-initial phonemes among successive words was varied (shared
voicing, manner, place, combinations of these features, and a control condition
in which no features were shared).
Initial phonemes also varied with respect to specificity from highly
specified to underspecified segments based on the Feature Geometry model of Sagey (1990).
Overall, the response latencies to produce words with highly specified
initial consonants were longer than the latencies to produce words with
underspecified initial consonants. The
transition from underspecified to highly specified initial consonants yielded
greater interference effects from phonologic similarity than the reverse
transition. This pattern of results was
strongest when two features as opposed to only one feature was shared
suggesting that specification interacts with featural
similarity to determine complexity of pre-motor encoding.