tokens_ngrams: Create n-grams and skip-grams from tokens

In quanteda/quanteda: Quantitative Analysis of Textual Data

Create n-grams and skip-grams from tokens

Description

Create a set of n-grams (tokens in sequence) from already tokenized text objects, with an optional skip argument to form skip-grams. Both the n-gram length and the skip lengths take vectors of arguments to form multiple lengths or skips in one pass. Implemented in C++ for efficiency.

Usage

tokens_ngrams(x, n = 2L, skip = 0L, concatenator = concat(x))

char_ngrams(x, n = 2L, skip = 0L, concatenator = "_")

tokens_skipgrams(x, n, skip, concatenator = concat(x))

Arguments

x	a tokens object, or a character vector, or a list of characters
n	integer vector specifying the number of elements to be concatenated in each n-gram. Each element of this vector will define a n in the n-gram(s) that are produced.
skip	integer vector specifying the adjacency skip size for tokens forming the n-grams, default is 0 for only immediately neighbouring words. For skipgrams, skip can be a vector of integers, as the "classic" approach to forming skip-grams is to set skip = k where k is the distance for which k or fewer skips are used to construct the n-gram. Thus a "4-skip-n-gram" defined as skip = 0:4 produces results that include 4 skips, 3 skips, 2 skips, 1 skip, and 0 skips (where 0 skips are typical n-grams formed from adjacent words). See Guthrie et al (2006).
concatenator	character for combining words, default is ⁠_⁠ (underscore) character

Details

Normally, these functions will be called through ⁠[tokens](x, ngrams = , ...)⁠, but these functions are provided in case a user wants to perform lower-level n-gram construction on tokenized texts.

tokens_skipgrams() is a wrapper to tokens_ngrams() that requires arguments to be supplied for both n and skip. For k-skip skip-grams, set skip to ⁠0:⁠k, in order to conform to the definition of skip-grams found in Guthrie et al (2006): A k skip-gram is an n-gram which is a superset of all n-grams and each (k-i) skip-gram until (k-i)==0 (which includes 0 skip-grams).

Value

a tokens object consisting a list of character vectors of n-grams, one list element per text, or a character vector if called on a simple character vector

Note

char_ngrams is a convenience wrapper for a (non-list) vector of characters, so named to be consistent with quanteda's naming scheme.

References

Guthrie, David, Ben Allison, Wei Liu, Louise Guthrie, and Yorick Wilks. 2006. "A Closer Look at Skip-Gram Modelling." ⁠https://aclanthology.org/L06-1210/⁠

Examples

# ngrams
tokens_ngrams(tokens(c("a b c d e", "c d e f g")), n = 2:3)

toks <- tokens(c(text1 = "the quick brown fox jumped over the lazy dog"))
tokens_ngrams(toks, n = 1:3)
tokens_ngrams(toks, n = c(2,4), concatenator = " ")
tokens_ngrams(toks, n = c(2,4), skip = 1, concatenator = " ")
# skipgrams
toks <- tokens("insurgents killed in ongoing fighting")
tokens_skipgrams(toks, n = 2, skip = 0:1, concatenator = " ")
tokens_skipgrams(toks, n = 2, skip = 0:2, concatenator = " ")
tokens_skipgrams(toks, n = 3, skip = 0:2, concatenator = " ")

quanteda/quanteda documentation built on April 15, 2024, 7:59 a.m.