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Erschienen in: Cognitive Computation 2/2017

06.03.2017

Cross-Linguistic Cognitive Modeling of Verbal Morphology Acquisition

verfasst von: Jesús Oliva, J. Ignacio Serrano, M. Dolores del Castillo, Ángel Iglesias

Erschienen in: Cognitive Computation | Ausgabe 2/2017

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Abstract

How children acquire and process inflectional morphology is still an open question. Despite the fact that English past tense acquisition has been studied and modeled in depth, the current approaches do not account for many of the errors made by humans. Moreover, not much work has been done with highly inflected languages, like Spanish. However, the modeling of any linguistic phenomenon in different languages is very important in order to understand the general cognitive processes underlying each particular phenomenon. This paper presents an ACT-R dual-mechanism model that accomplishes the task of acquiring verbal morphology systems from one of the simplest systems (the English one) to one of the most complex systems (the Spanish one), by using a double analogy process of stem and suffix. The model proposed was able to match all types of errors that developing children make (from a sample of them), both in English and Spanish. The models for both languages used very similar parameters. The introduced approach not only shows how children could acquire a highly inflected morphology system in terms of dual-mechanism theories but, given its cross-linguistic character, also sheds light on the possible general processes involved in the acquisition and processing of inflectional morphology.

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Metadaten
Titel
Cross-Linguistic Cognitive Modeling of Verbal Morphology Acquisition
verfasst von
Jesús Oliva
J. Ignacio Serrano
M. Dolores del Castillo
Ángel Iglesias
Publikationsdatum
06.03.2017
Verlag
Springer US
Erschienen in
Cognitive Computation / Ausgabe 2/2017
Print ISSN: 1866-9956
Elektronische ISSN: 1866-9964
DOI
https://doi.org/10.1007/s12559-017-9454-8

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