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A Bayesian Model for Lexical Availability of Chilean High School Students in Mathematics

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7930)

Abstract

Lexical availability studies make an account from a statistical point of view about the lexicon of a group of people and the extent to which these might be considered representative of a bigger population. Recent findings in lexical availability prove the existence of patterns in order and word choice when different individuals recall words after a certain category or center of interest is given as a stimulus, and that these patterns can be modeled as a graph. The following article goes beyond the common idea of lexical availability in terms of frequency, stating that lexical availability can be modeled from a probabilistic perspective, i.e. calculating the probability that a certain word is available given other previous words. This work also has implications in prototype semantics theory, as it provides a mathematical model to obtain structures of the mental lexicon that can be extrapolated to the members of specific groups of people.

Keywords

  • Lexical availability
  • Bayesian networks

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Salcedo L., P., Ferreira C., A., Barrientos C., F. (2013). A Bayesian Model for Lexical Availability of Chilean High School Students in Mathematics. In: Ferrández Vicente, J.M., Álvarez Sánchez, J.R., de la Paz López, F., Toledo Moreo, F.J. (eds) Natural and Artificial Models in Computation and Biology. IWINAC 2013. Lecture Notes in Computer Science, vol 7930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38637-4_25

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  • DOI: https://doi.org/10.1007/978-3-642-38637-4_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38636-7

  • Online ISBN: 978-3-642-38637-4

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