Emergent Mind
On the Diachronic Stability of Irregularity in Inflectional Morphology
(1804.08262)
Published Apr 23, 2018
in
cs.CL
Abstract
Many languages' inflectional morphological systems are replete with irregulars, i.e., words that do not seem to follow standard inflectional rules. In this work, we quantitatively investigate the conditions under which irregulars can survive in a language over the course of time. Using recurrent neural networks to simulate language learners, we test the diachronic relation between frequency of words and their irregularity.
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