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Counts syllables in character vectors. For English, this looks up syllables from the Carnegie Mellon University Pronouncing Dictionary, or guesses the syllables as the number of vowel sequences for words not found. User-supplied syllable word lists are also supported.

We hope to add lookup tables for additional languages in the future.

How to Install

From CRAN:


From GitHub:

# remotes package required to install nsyllable from Github 


nsyllable() counts the syllables in each element of a character vector, and returns the integer vector of the syllable counts. If use.names = TRUE, then the output vector is named. The default (and currently, only) language implemented is English.


charvec <- c("testing", "Aachen", "supercalifragilisticexpialidocious")
## [1]  2  2 14
nsyllable(charvec, use.names = TRUE)
##                            testing                             Aachen 
##                                  2                                  2 
## supercalifragilisticexpialidocious 
##                                 14

User-supplied dictionaries can also be used, and these will override the language argument. Below, “excellent” is still (correctly) counted, but not because it looked up the results in the English dictionary, but because it counted the vowel sequences. This gets “noel” wrong, however.

nsyllable(c("excellent", "noel", "film"), use.names = TRUE)
## excellent      noel      film 
##         3         2         1

# redefine the syllables as it's pronounced in parts of Ireland
mydict <- c("film" = 2L)
# looks up "excellent" and does the vowel count
nsyllable(c("excellent", "noel", "film"), syllable_dictionary = mydict, use.names = TRUE)
## excellent      noel      film 
##         3         1         2

To not use the English dictionary and count only vowel sequences, set syllable_dictionary to NULL. This will likely to be a good approximation for many Western languages.

nsyllable(c("Dies", "ist", "eine", "Demonstration"), syllable_dictionary = NULL,
          use.names = TRUE)
##          Dies           ist          eine Demonstration 
##             1             1             2             4

quanteda/nsyllable documentation built on Dec. 31, 2020, 2:11 a.m.