tokenizers: Simple tokenization functions for string splitting

In text2vec: Modern Text Mining Framework for R

Simple tokenization functions for string splitting

Description

Few simple tokenization functions. For more comprehensive list see tokenizers package: https://cran.r-project.org/package=tokenizers. Also check stringi::stri_split_*.

Usage

word_tokenizer(strings, ...)

char_tokenizer(strings, ...)

space_tokenizer(strings, sep = " ", xptr = FALSE, ...)

postag_lemma_tokenizer(strings, udpipe_model, tagger = "default",
  tokenizer = "tokenizer", pos_keep = character(0),
  pos_remove = c("PUNCT", "DET", "ADP", "SYM", "PART", "SCONJ", "CCONJ",
  "AUX", "X", "INTJ"))

Arguments

strings	character vector
...	other parameters (usually not used - see source code for details).
sep	character, nchar(sep) = 1 - split strings by this character.
xptr	logical tokenize at C++ level - could speed-up by 15-50%.
udpipe_model	- udpipe model, can be loaded with ?udpipe::udpipe_load_model
tagger	"default" - tagger parameter as per ?udpipe::udpipe_annotate docs.
tokenizer	"tokenizer" - tokenizer parameter as per ?udpipe::udpipe_annotate docs.
pos_keep	character(0) specifies which tokens to keep. character(0) means to keep all of them
pos_remove	c("PUNCT", "DET", "ADP", "SYM", "PART", "SCONJ", "CCONJ", "AUX", "X", "INTJ") - which tokens to remove. character(0) is equal to not remove any.

Value

list of character vectors. Each element of list contains vector of tokens.

Examples

doc = c("first  second", "bla, bla, blaa")
# split by words
word_tokenizer(doc)
#faster, but far less general - perform split by a fixed single whitespace symbol.
space_tokenizer(doc, " ")

text2vec documentation built on Nov. 9, 2023, 9:07 a.m.