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Updated answer:NLTK works for 2.7 well. I had 3.2. I uninstalled 3.2 and installed 2.7. Now it works!!
I have installed NLTK and tried to download NLTK Data. What I did was to follow the instrution on this site:
http://www.nltk.org/data.html
I downloaded NLTK, installed it, and then tried to run the following code:
>>> import nltk
>>> nltk.download()
It gave me the error message like below:
Traceback (most recent call last):
File "<pyshell#6>", line 1, in <module>
nltk.download()
AttributeError: 'module' object has no attribute 'download'
Directory of C:\Python32\Lib\site-packages
Tried both nltk.download() and nltk.downloader(), both gave me error messages.
Then I used help(nltk) to pull out the package, it shows the following info:
PACKAGE CONTENTS
align
app (package)
ccg (package)
chat (package)
chunk (package)
classify (package)
cluster (package)
collocations
corpus (package)
decorators
downloader
draw (package)
examples (package)
featstruct
grammar
inference (package)
internals
lazyimport
metrics (package)
misc (package)
model (package)
parse (package)
probability
sem (package)
sourcedstring
stem (package)
tag (package)
test (package)
tokenize (package)
toolbox
treetransforms
yamltags
c:\python32\lib\site-packages\nltk
I do see Downloader there, not sure why it does not work. Python 3.2.2, system Windows vista.
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TL;DR
To download a particular dataset/models, use the nltk.download() function, e.g. if you are looking to download the punkt sentence tokenizer, use:
$ python3
>>> import nltk
>>> nltk.download('punkt')
If you're unsure of which data/model you need, you can start out with the basic list of data + models with:
>>> import nltk
>>> nltk.download('popular')
It will download a list of "popular" resources, these includes:
<collection id="popular" name="Popular packages">
<item ref="cmudict" />
<item ref="gazetteers" />
<item ref="genesis" />
<item ref="gutenberg" />
<item ref="inaugural" />
<item ref="movie_reviews" />
<item ref="names" />
<item ref="shakespeare" />
<item ref="stopwords" />
<item ref="treebank" />
<item ref="twitter_samples" />
<item ref="omw" />
<item ref="wordnet" />
<item ref="wordnet_ic" />
<item ref="words" />
<item ref="maxent_ne_chunker" />
<item ref="punkt" />
<item ref="snowball_data" />
<item ref="averaged_perceptron_tagger" />
</collection>
EDITED
In case anyone is avoiding errors from downloading larger datasets from nltk, from https://stackoverflow.com/a/38135306/610569
$ rm /Users/<your_username>/nltk_data/corpora/panlex_lite.zip
$ rm -r /Users/<your_username>/nltk_data/corpora/panlex_lite
$ python
>>> import nltk
>>> dler = nltk.downloader.Downloader()
>>> dler._update_index()
>>> dler._status_cache['panlex_lite'] = 'installed' # Trick the index to treat panlex_lite as it's already installed.
>>> dler.download('popular')
Updated
From v3.2.5, NLTK has a more informative error message when nltk_data resource is not found, e.g.:
>>> from nltk import word_tokenize
>>> word_tokenize('x')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/l/alvas/git/nltk/nltk/tokenize/__init__.py", line 128, in word_tokenize
sentences = [text] if preserve_line else sent_tokenize(text, language)
File "/Users//alvas/git/nltk/nltk/tokenize/__init__.py", line 94, in sent_tokenize
tokenizer = load('tokenizers/punkt/{0}.pickle'.format(language))
File "/Users/alvas/git/nltk/nltk/data.py", line 820, in load
opened_resource = _open(resource_url)
File "/Users/alvas/git/nltk/nltk/data.py", line 938, in _open
return find(path_, path + ['']).open()
File "/Users/alvas/git/nltk/nltk/data.py", line 659, in find
raise LookupError(resource_not_found)
LookupError:
**********************************************************************
Resource punkt not found.
Please use the NLTK Downloader to obtain the resource:
>>> import nltk
>>> nltk.download('punkt')
Searched in:
- '/Users/alvas/nltk_data'
- '/usr/share/nltk_data'
- '/usr/local/share/nltk_data'
- '/usr/lib/nltk_data'
- '/usr/local/lib/nltk_data'
**********************************************************************
Related
To find nltk_data directory (auto-magically), see https://stackoverflow.com/a/36383314/610569
To download nltk_data to a different path, see https://stackoverflow.com/a/48634212/610569
To config nltk_data path (i.e. set a different path for NLTK to find nltk_data), see https://stackoverflow.com/a/22987374/610569
Install Pip: run in terminal : sudo easy_install pip
Install Numpy (optional): run : sudo pip install -U numpy
Install NLTK: run : sudo pip install -U nltk
Test installation: run: python
then type : import nltk
To download the corpus
run : python -m nltk.downloader all
NLTK Downloader
---------------------------------------------------------------------------
d) Download l) List u) Update c) Config h) Help q) Quit
---------------------------------------------------------------------------
Then, Press d
Do As Follows:
Downloader> d all
You will get following message on completion, and Prompt then Press q
Done downloading collection all
you can't have a saved python file called nltk.py because the interpreter is reading from that and not from the actual file.
Change the name of your file that the python shell is reading from and try what you were doing originally:
import nltk and then nltk.download()
Open pyScripter or any editor
Create a python file eg: install.py
write the below code in it.
import nltk
nltk.download()
A pop-up window will apper and click on download .
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I had the similar issue. Probably check if you are using proxy.
If yes, set up the proxy before doing download:
nltk.set_proxy('http://proxy.example.com:3128', ('USERNAME', 'PASSWORD'))
If you are running a really old version of nltk, then there is indeed no download module available (reference)
Try this:
import nltk
print(nltk.__version__)
As per the reference, anything after 0.9.5 should be fine
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you should add python to your PATH during installation of python...after installation.. open cmd prompt type command-pip install nltk
then go to IDLE and open a new file..save it as file.py..then open file.py
type the following:
import nltk
nltk.download()
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nltk.download()
then you will be show a popup asking what to download , select 'all'. it will take some time because of its size, but eventually we will get it.
and if you are using Google Colab, you can use
nltk.download(download_dir='/content/nltkdata')
after running that you will be asked to select from a list
NLTK Downloader
-----------------------------------------------------------------
----------
d) Download l) List u) Update c) Config h) Help q)
-----------------------------------------------------------------
----------
Downloader> d
here you have to enter d as you want to download.
after that you will be asked to enter the identifier that you want to download . You can see the list of available indentifier with l command or if you want all of them just enter 'all' in the input box.
then you will see something like -
Downloading collection 'all'
| Downloading package abc to /content/nltkdata...
| Unzipping corpora/abc.zip.
| Downloading package alpino to /content/nltkdata...
| Unzipping corpora/alpino.zip.
| Downloading package biocreative_ppi to /content/nltkdata...
| Unzipping corpora/biocreative_ppi.zip.
| Downloading package brown to /content/nltkdata...
| Unzipping corpora/brown.zip.
| Downloading package brown_tei to /content/nltkdata...
| Unzipping corpora/brown_tei.zip.
| Downloading package cess_cat to /content/nltkdata...
| Unzipping corpora/cess_cat.zip.
| Unzipping models/wmt15_eval.zip.
| Downloading package mwa_ppdb to /content/nltkdata...
| Unzipping misc/mwa_ppdb.zip.
Done downloading collection all
---------------------------------------------------------------------------
d) Download l) List u) Update c) Config h) Help q) Quit
---------------------------------------------------------------------------
Downloader> q
at last you can enter q to quit.
