brown_corpus: Brown Corpus
In news-r/nltk: Integration of the Python Natural Language Toolkit Library
Description
Usage
Value
Examples
Description
The Brown Corpus was the first million-word electronic corpus of English,
created in 1961 at Brown University. This corpus contains text from 500
sources, and the sources have been categorized by genre, such as news,
editorial, and so on. 1.1 gives an example of each genre (for a
complete list, see http://icame.uib.no/brown/bcm-los.html).
Usage
1
Value
Return NLTK's Brown corpus as Python object.
Examples
1
2
3
4
5
6
## Not run:
brown <- brown_corpus()
brown$categories() %>%
reticulate::py_to_r()
## End(Not run)
news-r/nltk documentation built on Nov. 4, 2019, 9:40 p.m.
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Description Usage Value Examples
Description
The Brown Corpus was the first million-word electronic corpus of English, created in 1961 at Brown University. This corpus contains text from 500 sources, and the sources have been categorized by genre, such as news, editorial, and so on. 1.1 gives an example of each genre (for a complete list, see http://icame.uib.no/brown/bcm-los.html).
Usage
1 |
Value
Return NLTK's Brown corpus as Python object.
Examples
1 2 3 4 5 6 | ## Not run:
brown <- brown_corpus()
brown$categories() %>%
reticulate::py_to_r()
## End(Not run)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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