Paper: Modularity In A Connectionist Model Of Morphology Acquisition

ACL ID C94-1034
Title Modularity In A Connectionist Model Of Morphology Acquisition
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1994
Authors

This paper describes a modular connection,st model of the acquisition of receptive inflectional morphology. The model takes inputs in the form of phones one at a time and outputs the associ- ated roots and infections. 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 re- sponsible for both root and inflection identification. In a more elaborate version of the model, the net- work learns to use separate hidden-layer modules to solve the separate tasks of root and inilection identification.