stri_count_boundaries: Count the Number of Text Boundaries¶
Description¶
These functions determine the number of text boundaries (like character, word, line, or sentence boundaries) in a string.
Usage¶
stri_count_boundaries(str, ..., opts_brkiter = NULL)
stri_count_words(str, locale = NULL)
Arguments¶
|
character vector or an object coercible to |
|
additional settings for |
|
a named list with ICU BreakIterator’s settings, see stri_opts_brkiter; |
|
|
Details¶
Vectorized over str
.
For more information on text boundary analysis performed by ICU’s BreakIterator
, see stringi-search-boundaries.
In case of stri_count_words
, just like in stri_extract_all_words and stri_locate_all_words, ICU’s word BreakIterator
iterator is used to locate the word boundaries, and all non-word characters (UBRK_WORD_NONE
rule status) are ignored. This function is equivalent to a call to stri_count_boundaries(str, type=’word’, skip_word_none=TRUE, locale=locale).
Note that a BreakIterator
of type character
may be used to count the number of Unicode characters in a string. The stri_length function, which aims to count the number of Unicode code points, might report different results.
Moreover, a BreakIterator
of type sentence
may be used to count the number of sentences in a text piece.
Value¶
Both functions return an integer vector.
See Also¶
Other search_count: about_search, stri_count()
Other locale_sensitive: %s<%(), about_locale, about_search_boundaries, about_search_coll, stri_compare(), stri_duplicated(), stri_enc_detect2(), stri_extract_all_boundaries(), stri_locate_all_boundaries(), stri_opts_collator(), stri_order(), stri_sort_key(), stri_sort(), stri_split_boundaries(), stri_trans_tolower(), stri_unique(), stri_wrap()
Other text_boundaries: about_search_boundaries, about_search, stri_extract_all_boundaries(), stri_locate_all_boundaries(), stri_opts_brkiter(), stri_split_boundaries(), stri_split_lines(), stri_trans_tolower(), stri_wrap()
Examples¶
test <- 'The\u00a0above-mentioned features are very useful. Spam, spam, eggs, bacon, and spam.'
stri_count_boundaries(test, type='word')
stri_count_boundaries(test, type='sentence')
stri_count_boundaries(test, type='character')
stri_count_words(test)
test2 <- stri_trans_nfkd('\u03c0\u0153\u0119\u00a9\u00df\u2190\u2193\u2192')
stri_count_boundaries(test2, type='character')
stri_length(test2)
stri_numbytes(test2)