Date of Degree
Vivien C. Tartter
James B. Marshall
Developmental Psychology | Psychology
At the computational level, language is often assumed to require both supervised and unsupervised learning. Although we have a certain understanding of these computational processes both biologically and behaviorally, our understanding of the environmental conditions under which language learning takes place falls short. I examine the semi-supervised learning paradigm as the most accurate computational description of the environmental conditions of lexical acquisition during language development. This paradigm is assessed for task learning and generalization and I argue that its real ecological validity and occasional improvements in performance over supervised learning make it an ideal candidate for modeling of language acquisition and other learning problems.
Robare, Rebecca, "Semi-Supervised Learning for Connectionist Networks" (2010). CUNY Academic Works.