Modeling word perception using the Elman network

Authors:
Cheng-Yuan Liou;Jau-Chi Huang;Wen-Chie Yang
Affiliations:
Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, ROC;Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, ROC;Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, ROC
Venue:
Neurocomputing
Year:
2008

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Abstract

This paper presents an automatic acquisition process to acquire the semantic meaning for the words. This process obtains the representation vectors for stemmed words by iteratively improving the vectors, using a trained Elman network. Experiments performed on a corpus composed of Shakespeare's writings show its linguistic analysis and categorization abilities.