syllable_sum(text.var, parallel = FALSE, ...)
syllable_count(text, remove.bracketed = TRUE, = FALSE, env = qdap::env.syl)
polysyllable_sum(text.var, parallel = FALSE)
combo_syllable_sum(text.var, parallel = FALSE)


The text variable
logical. If TRUE attempts to run the function on multiple cores. Note that this may not mean a speed boost if you have one core or if the data set is smaller as the cluster takes time to create.
A single character vector of text.
logical. If TRUE brackets are removed from the analysis.
logical. If TRUE generates a report of words not found in the dictionary (i.e., syllables were calculated with an algorithm).
A lookup environment to lookup the number of syllables in found words.
Other arguments passed to syllable_count.



syllable_sum - returns a vector of syllable counts per row.

syllable_count - returns a dataframe of syllable counts and algorithm/dictionary uses and, optionally, a report of words not found in the dictionary.

polysyllable_sum - returns a vector of polysyllable counts per row.

combo_syllable_sum - returns a dataframe of syllable and polysyllable counts per row.


syllable_sum - Count the number of syllables per row of text.

syllable_count - Count the number of syllables in a single text string.

polysyllable_sum - Count the number of polysyllables per row of text.

combo_syllable_sum - Count the number of both syllables and polysyllables per row of text.


The worker function of all the syllable functions is syllable_count, though it is not intended for direct use on a transcript. This function relies on a combined dictionary lookup (based on the Nettalk Corpus (Sejnowski & Rosenberg, 1987)) and backup algorithm method.


Sejnowski, T.J., and Rosenberg, C.R. (1987). "Parallel networks that learn to pronounce English text" in Complex Systems, 1, 145-168.


## <strong>Not run</strong>: # syllable_count("Robots like Dason lie.") # syllable_count("Robots like Dason lie.", = TRUE) # # syllable_sum(DATA$state) # x1 <- syllable_sum(rajSPLIT$dialogue) # plot(x1) # cumulative(x1) # # polysyllable_sum(DATA$state) # x2 <- polysyllable_sum(rajSPLIT$dialogue) # plot(x2) # cumulative(x2) # # combo_syllable_sum(DATA$state) # x3 <- combo_syllable_sum(rajSPLIT$dialogue) # plot(x3) # cumulative(x3) # ## <strong>End(Not run)</strong>