Abstract
This paper presents a system which acquires noun concepts (labels for images) based on infant vocabulary acquisition models. In order to improve its performance, we introduced ”label acquisition rules” into this system.
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References
Sony Corporation.: Aibo (2006), http://www.sony.net/Products/aibo/
NEC Personal Robot Research Center.: Papero (2005), http://www.incx.nec.co.jp/robot/english/robotcenter_e.html
Wow Wee Ltd.: Robosapien, http://www.wowwee.com/robosapien/robo1/robomain.html
Speecys.: ITR (2006), http://speecys.com/english/
Jusczyk, P.W., Houston, D.M., Newsome, M.: The beginnings of word segmentation in english-learning infants. Cognitive Psychology 39, 159–207 (1999)
Evolution Robotics, Inc.: ERSP 3.1 Robotic Development Platform OEM Software by Evolution Robotics, http://www.evolution.com/products/ersp/
Google.: http://www.google.com/
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© 2007 Springer-Verlag Berlin Heidelberg
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Uchida, Y., Araki, K. (2007). A System for Acquisition of Noun Concepts from Utterances for Images Using the Label Acquisition Rules. In: Orgun, M.A., Thornton, J. (eds) AI 2007: Advances in Artificial Intelligence. AI 2007. Lecture Notes in Computer Science(), vol 4830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76928-6_95
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DOI: https://doi.org/10.1007/978-3-540-76928-6_95
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76926-2
Online ISBN: 978-3-540-76928-6
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