Claudia Marzi

Modelling the interaction of regularity and morphological structure: the case of Russian verb inflection

  • Abstract

Informations and abstract

Keywords: morphological complexity, discriminative learning, recurrent neural networks, self-organisation, Russian verb in􁞸ection.

The main focus of this paper is to investigate how aspects of morphological regularity may have an impact on early stages of word processing, prior to full lexical access. Here I explore the interaction of regularity and morphological structure by using a computational simulation of the process of learning Russian verb forms, without any morpho-syntactic or morphosemantic additional information. With a recurrent variant of self-organising memories, namely a Temporal Self-Organising Map, or TSOM, experimental results allow an investigation of the impact of incremental learning and online processing principles on paradigm organisation, by assessing the di􁞶erential impact of several aspects of regularity, ranging from formal transparency and predictability to allomorphy, on the processing/learning behaviour in a connectionist framework. The proposed analysis suggests a performance-oriented account of in􁞸ectional regularity in morphology, whereby perception of morphological structure is not the by-product of the design of the human word processor, with rules separated from exceptions, but rather an emergent property of the dynamic self-organisation of stored lexical representations, dependent on the adaptive processing history of in􁞸ected word forms, intrinsically graded and probabilistic.

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