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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. | Acquiring Receptive Morphology A Connectionist Model Michael Gasser Computer Science and Linguistics Departments Indiana University Abstract 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. Introduction For many natural languages a major problem for a language learner whether human or machine is the system of bound morphology of the language which may carry much of the functional load of the grammar. While the acquisition of morphology has sometimes been seen as the problem of learning how to transform one linguistic form into another form e.g. by Plunkett and Marchman 1991 and Rumelhart and McClelland 1986 from the learner s perspective the problem is one of learning how forms map onto meanings. Most work which has viewed the acquisition of morphology in this way e.g. Cottrell and Plunkett 1991 has taken the perspective of production. But a human language learner almost certainly learns to understand polymor-phemic words before learning to produce them and production may need to build on perception Gasser 1993 . Thus it seems reasonable to begin with a model of the acquisition of receptive morphology. In this paper I will deal with that component of receptive morphology which takes sequences of phones each expressed as a vector of phonetic features and identifies them as particular morphemes. This process ignores the segmentation of words into phone sequences the morphological structure of words and the the semantics of morphemes. I .