Speaker
Vito Pirrelli
(CNR, Pisa)
Description
The advent of connectionism in the 80’s popularised the idea that the lexical processor
consists of a network of parallel processing units selectively firing in response to sensory
stimuli. In the light of these assumptions, the most important contribution of connectionism
to the theoretical debate on lexical modelling at the time was the utter rejection of the widely
accepted idea that word recognition and production require a dichotomous choice between
storage and processing. However, in spite of the prima facie psycho-computational allure of
this view of the lexicon, early connectionist models also embraced a number of unsatisfactory
assumptions about word learning and processing.
More recently, a growing number of approaches to inflection in both Psycholinguistics and
Theoretical Linguistics developed the view that surface word relations represent a
fundamental domain of morphological competence. Learning the morphology of a language
amounts to acquiring relations between fully stored lexical forms, which are concurrently
available in the speaker’s mental lexicon and jointly facilitate processing of morphologically
related forms through patterns of emergent self-organisation. This novel view presupposes an
integrative language architecture, where storage and processing, far from being conceived of
as insulated and poorly interacting modules, are the short-term and the long-term dynamics
of the same underlying process of adaptive specialisation of synaptic connections. This view,
upheld by recent evidence of the neuro-anatomical bases of short-term and long-term
memory processes, crucially hinges on Hebbian principles of synaptic plasticity, which are, in
turn, in keeping with mathematical models of discriminative learning. I contend that
integrative computer models of Hebbian language learning represent an exciting way forward
in current neuro-computational research on word processing, and a persistently fertile legacy
of the connectionist revolution.
Primary author
Vito Pirrelli
(CNR, Pisa)