Electropalatographic contact indices
epgai(), epgci(), epgdi() return the anteriority index, the centrality index, the dorsopalatal index respectively as a trackdata object or a vector
epgai(epgdata, weights = c(1, 9, 81, 729, 4921))
epgdata |
An eight-columned EPG-compressed trackdata object, or an eight columned matrix of EPG-compressed trackdata, or a 3D palatographic array that is the output of palate() |
weights |
A vector of five values that are applied to EPG rows 1-5 respectively in epgai(). A vector of four values that are applied to columns 1 and 8, to columns 2 and 7, columns 3 and 6, columns 4 and 5 respectively. Defaults to the values given in Recasens & Pallares (2001). |
These are exact implementations of the formulae for calculating the EPG anteriority, EPG centrality, and EPG dorsopalatal indices as described in Recasens & Pallares (2001).
These functions return a trackdata object if they are applied to an eight-columned EPG-compressed trackdata object, otherwise a one-columned matrix.
Jonathan Harrington
GIBBON, F. AND NICOLAIDIS, K. (1999). Palatography. In W.J. Hardcastle & N. Hewlett (eds). Coarticulation. (pp. 229-245). Cambridge University Press: Cambridge.
RECASENS, D. & PALLARES, M. (2001) Coarticulation, assimilation and blending in Catalan consonant clusters. Journal of Phonetics, 29, 273-301.
# Anteriority index: trackdata ai <- epgai(coutts.epg) # Dorsopalatal index, one-columned matrix di <- epgdi(dcut(coutts.epg, 0.5, prop=TRUE)) # Next to examples: Centrality index, one-columed matrix ci <- epgci(palate(coutts.epg)) ci <- epgci(palate(dcut(coutts.epg, 0.5, prop=TRUE)))
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