Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
On learning the past tenses of english verbs
Parallel distributed processing
Distributed Representations, Simple Recurrent Networks, And Grammatical Structure
Machine Learning - Connectionist approaches to language learning
Modularity in a connectionist model of morphology acquisition
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Automatic acquisition of two-level morphological rules
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Modularity in a connectionist model of morphology acquisition
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Acquisition of Morphology of an Indic Language from Text Corpus
ACM Transactions on Asian Language Information Processing (TALIP)
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This 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. Simulations using artificial language stimuli demonstrate the capacity of the model to learn suffixation, prefixation, infixation, circumfixation, mutation, template, and deletion rules. Separate network modules responsible for syllables enable to the network to learn simple reduplication rules as well. The model also embodies constraints against association-line crossing.