Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30069
A Computer Model of Language Acquisition – Syllable Learning – Based on Hebbian Cell Assemblies and Reinforcement Learning

Authors: Sepideh Fazeli, Fariba Bahrami

Abstract:

Investigating language acquisition is one of the most challenging problems in the area of studying language. Syllable learning as a level of language acquisition has a considerable significance since it plays an important role in language acquisition. Because of impossibility of studying language acquisition directly with children, especially in its developmental phases, computer models will be useful in examining language acquisition. In this paper a computer model of early language learning for syllable learning is proposed. It is guided by a conceptual model of syllable learning which is named Directions Into Velocities of Articulators model (DIVA). The computer model uses simple associational and reinforcement learning rules within neural network architecture which are inspired by neuroscience. Our simulation results verify the ability of the proposed computer model in producing phonemes during babbling and early speech. Also, it provides a framework for examining the neural basis of language learning and communication disorders.

Keywords: Brain modeling, computer models, language acquisition, reinforcement learning.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1081585

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1165

References:


[1] H. Markert, A. Knoblauch, and G. Palm, "Modelling of syntactical processing in the cortex," J. BioSystems, vol. 89, 2007, pp. 300-315.
[2] P. J. Buttery, "Computational models for first language acquisition," Computer Laboratory, University of Cambridge, Tech. Rep. UCAM-CLTR- 675, Nov. 2006.
[3] M. T. Ullman, "Contributions of memory circuits to language: the declarative/procedural model," J. Cognition, vol. 92, 2004, pp. 231-270.
[4] A. Portoa, A. Araqueb, J. Rabunal, J. Dorado, and A. Pazos, "A new hybrid evolutionary mechanism based on unsupervised learning for Connectionist Systems," J. Neurocomputing, vol. 70, 2007, pp. 2799- 2808.
[5] T. Wennekers, M. Garagnani, and F. Pulvermuller, "Language models based on Hebbian cell assemblies," J. Physiology, vol. 100, 2006, pp. 16-30.
[6] F. H. Guenther, "Cortical interactions underlying the production of speech sounds," J. Communication Disorders, vol. 39, 2006, pp. 350- 365.
[7] F. H. Guenther, "Neural modeling of speech production," in Proc. 4th Int. Nijmegen Speech Motor Conf., Nijmegen, Netherland, June 13-16, 2001.
[8] T. W. Troyer, and A. J. Doupe, "An associational model of birdsong sensorimotor learning. I. efference copy and the learning of song syllables," J. Neurophysiol, vol. 84, 2000, pp. 1204-1223.
[9] F. H. Guenther, and S. S. Ghosh, "A model of cortical and cerebellar function in speech", in Proc. of the XVth Int. Cong. of Phonetic Science, Barcelona, Spain, 2003.