jTRACE includes a default language, which consists on a matrix with the scores of a series of phonemes across the seven feature dimensions considered by the TRACE model, a matrix with the duration score of each phoneme in each feature, and a matrix of logical values indicating the allophonic relations between phonemes. You can extract this language by running:
library(jtracer)
jtrace_install()
default_language <- jtrace_get_language(language_name = "default")This function will return a named list, containing the feature scores, duration scalars, and allophonic relations between phonemes:
default_language$features
#> bur voi con grd dif voc pow
#> - 9 9 9 9 9 9 9
#> ^ 2 1 4 8 2 1 1
#> a 1 1 7 8 2 1 1
#> b 5 8 2 7 8 2 2
#> d 5 8 2 2 8 2 4
#> g 5 8 7 6 8 2 6
#> i 1 1 1 1 2 1 1
#> k 5 8 7 6 8 8 5
#> l 2 2 7 5 5 1 1
#> p 5 8 2 7 8 8 1
#> r 2 2 8 7 5 1 1
#> s 3 5 2 1 4 8 1
#> S 3 5 3 5 4 8 1
#> t 5 8 2 2 8 8 3
#> u 1 1 3 7 2 1 1
default_language$duration_scalar
#> bur voi con grd dif voc pow
#> - 1 1 1 1 1 1 1
#> ^ 1 1 1 1 1 1 1
#> a 1 1 1 1 1 1 1
#> b 1 1 1 1 1 1 1
#> d 1 1 1 1 1 1 1
#> g 1 1 1 1 1 1 1
#> i 1 1 1 1 1 1 1
#> k 1 1 1 1 1 1 1
#> l 1 1 1 1 1 1 1
#> p 1 1 1 1 1 1 1
#> r 1 1 1 1 1 1 1
#> s 1 1 1 1 1 1 1
#> S 1 1 1 1 1 1 1
#> t 1 1 1 1 1 1 1
#> u 1 1 1 1 1 1 1
default_language$allophonic_relations
#> - ^ a b d g i k l p r s S
#> - FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> ^ FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> a FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> b FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> d FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> g FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> i FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> k FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> l FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> p FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> r FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> s FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> S FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> t FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> u FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> t u
#> - FALSE FALSE
#> ^ FALSE FALSE
#> a FALSE FALSE
#> b FALSE FALSE
#> d FALSE FALSE
#> g FALSE FALSE
#> i FALSE FALSE
#> k FALSE FALSE
#> l FALSE FALSE
#> p FALSE FALSE
#> r FALSE FALSE
#> s FALSE FALSE
#> S FALSE FALSE
#> t FALSE FALSE
#> u FALSE FALSE