Theoretical and Computational Models of Word Learning
Trends in Psychology and Artificial Intelligence
Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
| Author: | ISBN: | 9781466630277 | |
| Publisher: | IGI Global | Publication: | February 28, 2013 |
| Imprint: | Information Science Reference | Language: | English |
| Author: | |
| ISBN: | 9781466630277 |
| Publisher: | IGI Global |
| Publication: | February 28, 2013 |
| Imprint: | Information Science Reference |
| Language: | English |
The process of learning words and languages may seem like an instinctual trait, inherent to nearly all humans from a young age. However, a vast range of complex research and information exists in detailing the complexities of the process of word learning. 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.
The process of learning words and languages may seem like an instinctual trait, inherent to nearly all humans from a young age. However, a vast range of complex research and information exists in detailing the complexities of the process of word learning. 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.
