Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence strives to combine cross-disciplinary research into one comprehensive volume to help readers gain a fuller understanding of the developmental processes and influences that makeup the progression of word learning. Blending together developmental psychology and artificial intelligence, this publication is intended for researchers, practitioners, and educators who are interested in language learning and its development as well as computational models formed from these specific areas of research.
George Hollich is an associate professor and the Director of the Infant Language Lab in the Department of Psychological Sciences at Purdue University. He is the author of a Society for Research in Child Development Monograph on the Origins of Word Learning (co-written with Kathy Hirsh-Pasek and Roberta Golinkoff, and a Psychological Review Article (co-authored with Lakshmi Gogate) that reveals the perceptual underpinnings of speech perception, word learning, and grammar. In recognition for his work in the areas of early language development and speech perception, Dr. Hollich was the recipient of the 2007 Boyd McCandless Award given by Division 7 of APA to recognize a young scientist who has made a distinguished contribution to the dissemination of developmental science. George was also presented the 2006 International Society on Infant Studies Distinguished Early Career Contribution Award. This award was given in recognition of significant new insights into early perception, cognition, and language acquisition. Also cited was the breadth of his work and the use of innovative technologies from multiple areas, including developmental and cognitive psychology, computer science and speech science. [Editor]