You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
We have all-corpora and all but it'll be nice if we can several new category that includes:
popular
punkt
stopwords
wordnet
averaged_perceptron_tagger
brown
movie_reviews
words
tokenizers
punkt
snowball
perluniprops
nonbreaking_prefixes
That way I think it's easier to advise users to do the following to install nltk:
pip install -U nltk
python -m nltk.downloader popular
More importantly, I think all-no-third-party and all-third-party, so that we can separate issues when the third-party datasets/models don't update their checksum to nltk when they refresh their data/models.
@stevenbird Are the suggestions okay? How should we go about adding these categories?
The text was updated successfully, but these errors were encountered:
We have
all-corpora
andall
but it'll be nice if we can several new category that includes:popular
tokenizers
That way I think it's easier to advise users to do the following to install
nltk
:More importantly, I think
all-no-third-party
andall-third-party
, so that we can separate issues when the third-party datasets/models don't update their checksum tonltk
when they refresh their data/models.@stevenbird Are the suggestions okay? How should we go about adding these categories?
The text was updated successfully, but these errors were encountered: