Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Can speakers’ virtual lexical richness be calculated?

Individual and social determining factors
Authors: Antonio Manuel Ávila Muñoz;

Can speakers’ virtual lexical richness be calculated?

Abstract

The aim of this paper is to show an original method of calculating individual lexical richness. This method leads to a non-linear optimization. A randomized algorithm, Simulated Annealing, is used in order to carry out the optimization. This procedure has allowed us to represent a function from which we obtain a reliable pattern for lexical estimation. Furthermore, this method is compatible with other traditional procedures used for the estimation of lexical richness. Therefore, in this work we have taken an alternative and more general approach: we wish to calculate the virtual richness of the individual’s vocabulary. In order to validate the new model that calculates lexical richness, we carried out a pilot study based on the subjects’ sociolinguistic patterns that govern their lexical richness. We have explored the lexical variation of the Spanish system that occurs during the oral exchanges of 86 speakers born in Malaga.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!