stylo (version 0.7.5)

parse.pos.tags: Extract POS-tags or Words from Annotated Corpora

Description

Function for extracting textual data from annotated corpora. It uderstands Stanford Tagger, TreeTagger TaKIPI (a tagger for Polish), and Alpino (a tagger for Dutch) output formats. Either part-of-speech tags, or words, or lemmata can be extracted.

Usage

parse.pos.tags(input.text, tagger = "stanford", feature = "pos")

Value

If the function is applied to a single text, then a vector of extracted features is returned. If it is applied to a corpus (a list, preferably of a class "stylo.corpus"), then a list of preprocessed texts are returned.

Arguments

input.text

any string of characters (e.g. vector) containing markup tags that have to be deleted.

tagger

choose the input format: "stanford" for Stanford Tagger, "treetagger" for TreeTagger, "takipi" for TaKIPI.

feature

choose "pos" (default), "word", or "lemma" (this one is not available for the Stanford-formatted input).

Author

Maciej Eder

See Also

load.corpus, txt.to.words, txt.to.words.ext, txt.to.features

Examples

text = "I_PRP have_VBP just_RB returned_VBN from_IN a_DT visit_NN 
  to_TO my_PRP$ landlord_NN -_: the_DT solitary_JJ neighbor_NN  that_IN 
  I_PRP shall_MD be_VB troubled_VBN with_IN ._. This_DT is_VBZ certainly_RB 
  a_DT beautiful_JJ country_NN !_. In_IN all_DT England_NNP ,_, I_PRP do_VBP 
  not_RB believe_VB that_IN I_PRP could_MD have_VB fixed_VBN on_IN a_DT 
  situation_NN so_RB completely_RB removed_VBN from_IN the_DT stir_VB of_IN 
  society_NN ._."

parse.pos.tags(text, tagger = "stanford", feature = "word")
parse.pos.tags(text, tagger = "stanford", feature = "pos")