1887
Volume 13, Issue 2
  • ISSN 1571-0718
  • E-ISSN: 1571-0726
USD
Buy:$35.00 + Taxes

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.

Loading

Article metrics loading...

/content/journals/10.1075/sic.13.2.06avi
2016-09-02
2019-08-21
Loading full text...

Full text loading...

References

  1. Ávila, Raúl
    1985 “La langue espagnole et son enseignement. Oppresseurs et oprimes.” InLa crise des langues, ed. by Jacques Maurais , 342ff. Québec-París: Conseil de la Langue Française.
    [Google Scholar]
  2. 1988 “Lengua hablada y estrato social. Un acercamiento lexicoestadístico.” NRFHXXXVI/1: 131–148.
    [Google Scholar]
  3. Baldi, Pierre Luigi
    1971 “Fattori sociali dell’abilitá lingüística nella produzione scrita di bambini di novidieci anni.” SILTA1: 335–471.
    [Google Scholar]
  4. Bod, Rens
    1995Enriching Linguistics with Statistics. Performance Models of Natural Language. Amsterdam: ILLC Disertation Series, Amsterdam University.
    [Google Scholar]
  5. Bott, Elizabeth
    1957Family and Social Network: Roles, Norms, and External Relationships in Ordinary Urban Families. London-New York: Tavistock-Free Press.
    [Google Scholar]
  6. Cedergren, Henrietta and David Sankoff
    1974 “Variable Rules. Performance as a Statistical Reflection of Competence.” Language50: 333–355. doi: 10.2307/412441
    https://doi.org/10.2307/412441 [Google Scholar]
  7. Charniak, Eugene
    1993Statistical Language Learning. Cambridge: MIT Press.
    [Google Scholar]
  8. Guiraud, Pierre
    1959Problèmes et méthodes de la statisque linguistique. Dordrecht: Reidel.
    [Google Scholar]
  9. Halliday, Michael Alexander Kirkwood
    1978Language as Social Semiotics. The Social Interpretation of Language and Meaning. London: E. Arnold.
    [Google Scholar]
  10. Jarvis, Scott
    2002 “Short Texts, Best Fitting Curves, and New Measures of Lexical Diversity.” Language Testing19: 1–15. doi: 10.1191/0265532202lt220oa
    https://doi.org/10.1191/0265532202lt220oa [Google Scholar]
  11. Labov, William
    1966The Social Stratification of English in New York City. Washington: CAL.
    [Google Scholar]
  12. 1969 “Contraction, Deletion and Inherent Variability of the English Copula.” Language45: 715–762. doi: 10.2307/412333
    https://doi.org/10.2307/412333 [Google Scholar]
  13. 1984 “Field Methods of the Project of Linguistic Change and Variation.” InLanguage in Use. Readings in Sociolinguistics, ed. by John Baugh and Joel Sherzer , 28–53. New Jersey: Prentice‑Hall, Englewood Cliffs.
    [Google Scholar]
  14. López Morales, Humberto
    (coord.) 1983Introducción a la lingüística actual. Madrid: Playor.
    [Google Scholar]
  15. Malvern, David and Brian Richards
    2000 “Investigating Accommodation in Language Proficiency in Interviews Using a New Measure of Lexical Diversity.” Language Testing19: 85–104. doi: 10.1191/0265532202lt221oa
    https://doi.org/10.1191/0265532202lt221oa [Google Scholar]
  16. Malvern, David , Brian Richards , Ngoni Chipere , and Pilar Durán
    2004Lexical Diversity and Language Development: Quantification and Assessment. Hampshire: Palgrave Macmillan. doi: 10.1057/9780230511804
    https://doi.org/10.1057/9780230511804 [Google Scholar]
  17. Metropolis, Nicholas , et al.
    1953 “Equation of state calculations by fast computing machines.” The Journal of Chemical Physics21: 1087–1092. doi: 10.1063/1.1699114
    https://doi.org/10.1063/1.1699114 [Google Scholar]
  18. Poplack, Shana
    1979Function and Process in a Variable Phonology. Philadelphia: University of Pennsylvania.
    [Google Scholar]
  19. Rousseau, Pascale and David Sankoff
    1989 “Statistical Evidence for Rule Ordering.” Language Variation and Change1(1): 1–18. doi: 10.1017/S0954394500000090
    https://doi.org/10.1017/S0954394500000090 [Google Scholar]
  20. Sánchez Sáez, José María
    1994El algoritmo Simulated Annealing. Doctoral dissertation. Malaga University.
    [Google Scholar]
  21. Sankoff, David
    1978Linguistic Variation. Models and Methods. New York: Academic Press.
    [Google Scholar]
  22. van Gijsel, Sofie , Dirk Speelman , and Dirk Geeraerts
    2006 “Locating Lexical Richness: A Corpus Linguistic, Sociovariational Analysis.” 8es Journées internationales d’Analyse statistique des Données Textuelles. AccessedFebruary 19, 2014. lexicometrica.univ-paris3.fr/jadt/jadt2006/PDF/II-085.pdf.
    [Google Scholar]
  23. Vermeer, Anne
    2004 “The Relation between Lexical Richness and Vocabulary Size in Dutch L1 and L2 Children.” InVocabulary in a Second Language: Selection, Acquisition and Testing, ed. by Paul Bogaards and Baita Laufer , 173–189. Amsterdam: John Benjamins. doi: 10.1075/lllt.10.13ver
    https://doi.org/10.1075/lllt.10.13ver [Google Scholar]
  24. Villena Ponsoda, Juan Andrés
    1994aLa ciudad lingüística. Fundamentos críticos de la sociolingüística urbana. Granada: Granada University.
    [Google Scholar]
  25. 1994b “Pautas y procedimientos de representación del corpus oral español de la Universidad de Málaga. Informe preliminar.” InEstudios para un corpus del español, ed. by Manuel Alvar Ezquerra and Juan Andrés Villena Ponsoda , 73–10. Málaga: Malaga University.
    [Google Scholar]
  26. 1995Proyecto de investigación de las variedades vernáculas de la ciudad de Málaga. Objetivos, métodos y primeros resultados. Final report for the DGICYT PB 91‑0417, 1992-1995. Málaga: Malaga University.
    [Google Scholar]
  27. Williams, Frederick
    (ed.) 1973Language and Poverty. Chicago: McNally.
    [Google Scholar]
  28. Zareva, Alla , Paula Schwanenflugel , and Yordanka Nikolova
    2005 “Relationship between Lexical Competence and Language Proficiency-Variable Sensitivity.” Studies in Second Language Acquisition27: 567–595. doi: 10.1017/S0272263105050254
    https://doi.org/10.1017/S0272263105050254 [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.1075/sic.13.2.06avi
Loading
  • Article Type: Research Article
Keyword(s): lexical density , lexical richness , lexical variation and sociolinguistic patterns
This is a required field
Please enter a valid email address
Approval was successful
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error