Nemeth, D., Janacsek, K., Csifcsak, G., Szvoboda, G.,
Howard, J. H., & Howard, D. V. (2011). Interference between sentence
processing and probabilistic implicit sequence learning. PLoS One, 6 (3).
The present study investigated whether sentences are processed
via a language-specific mechanism, or a domain-general mechanism. The authors
differentiated between two theories in the literature that account for how
humans process sentences. The first is a “dual systems” theory, which suggests
that humans possess two distinct systems that process language: The declarative system, which is responsible
for learning words, and the procedural
system, which is responsible for learning sequences, such as the learning of
grammar. The second is a “single system” theory, which suggests that words and
grammar are learned by the same non-language specific system. This system
relies on the learning of the statistically predictable regularities within
language.
To investigate whether sentences are processed by a
domain-specific or domain-general system, the authors used a dual task
paradigm. Participants completed a non-linguistic Alternating Serial Reaction Time
(ASRT) task, which involved the learning of a non-linguistic sequence. While
completing the ASRT task, participants were concurrently engaged in a
sentence-processing task (linguistic), a word recognition task (linguistic
control), or a mathematical addition task (non-linguistic control). The authors
hypothesized that learning within the ASRT task would be diminished by
concurrent engagement in the sentence-processing task, which would suggest that
both tasks involve a domain-general sequence learning mechanism
The main finding was that engagement in the
sentence-processing task reduced sequence learning in the ASRT task. It was
interesting that the mathematics task did not diminish learning, as it was the
most difficult of the concurrent tasks. This result suggested that the
interference between the sentence processing and ASRT task was not due to task
difficulty. Overall, the authors suggested that sentence processing involves a
domain-general sequence learning mechanism.
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