SciELO - Scientific Electronic Library Online

 
vol.53 número2IDENTIFICACIÓN DE LOS CONECTORES DISCURSIVOS DE MÁS ALTA FRECUENCIA EN NOTAS PERIODÍSTICAS DEPORTIVAS índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • En proceso de indezaciónCitado por Google
  • No hay articulos similaresSimilares en SciELO
  • En proceso de indezaciónSimilares en Google

Compartir


RLA. Revista de lingüística teórica y aplicada

versión On-line ISSN 0718-4883

Resumen

FERNANDEZ PLANAS, ANA MARÍA et al. DISTANCE AND PROSODIC CLOSENESS BETWEEN SOME VARIETIES OF SPANISH: A DIALECTOMETRIC STUDY FROM ACOUSTIC DATA. RLA [online]. 2015, vol.53, n.2, pp.13-45. ISSN 0718-4883.  http://dx.doi.org/10.4067/S0718-48832015000200002.

This paper presents the results of an dialectometric analysis of F0 data of interrogative and declarative sentences from AMPER experimental corpus, uttered by speakers of six varieties of peninsular Spanish and seven speakers of insular Spanish, according to two different routines. The Calcu-Dista method, developed by the Laboratori de Fonètica of the University of Barcelona, works with a distance matrix of quantitative F0 data in semitones. To represent prosodic distances without the need to use such large data matrix, we used SPSS dendrograms created through cluster analysis and MDS (Multi Dimensional Scaling) type graphics, which represent the distances between sample points in a virtual space. On the other hand, the open source online tool DiaTech, developed by the UPV / EHU research team, allows to analyze distances using nominal data, though. To solve this problem, we have used the autosegmental metric system to label F0 curves. This software also represents results using dendrograms. The analysis of the available data using these two different quantitative and qualitative methods allows to represent graphically the distribution of the different studied varieties of Spanish. Furthermore, both methods are capable of sort out the available data into two distinct groups, for both the interrogatives and interrogative-declarative sets; while in the case of the declarative sentences, no coherent groups have been formed.

Palabras clave : AMPER; dialectometric analysis; intonation; cluster.

        · resumen en Español     · texto en Español     · Español ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons