Modularity in a Connectionist Model of Morphology Acquisition

dc.creatorGasser, Michael
dc.date1994-05-30
dc.date.accessioned2026-07-07T09:09:17Z
dc.date.available2026-07-07T09:09:17Z
dc.descriptionThis paper describes a modular connectionist model of the acquisition of receptive inflectional morphology. The model takes inputs in the form of phones one at a time and outputs the associated roots and inflections. In its simplest version, the network consists of separate simple recurrent subnetworks for root and inflection identification; both networks take the phone sequence as inputs. It is shown that the performance of the two separate modular networks is superior to a single network responsible for both root and inflection identification. In a more elaborate version of the model, the network learns to use separate hidden-layer modules to solve the separate tasks of root and inflection identification.
dc.description7 pages, uuencoded compressed Postscript file
dc.identifierhttps://arxiv.org/abs/cmp-lg/9405032
dc.identifierhttp://arxiv.org/abs/cmp-lg/9405032
dc.identifierProceedings of COLING 94
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/150983
dc.subjectComputation and Language
dc.titleModularity in a Connectionist Model of Morphology Acquisition
dc.typetext

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