[IPython-User] displaying sentence parse trees from nltk from ipython notebook

Steve Hill kindageeky@gmail....
Sat Jan 26 14:56:01 CST 2013

I'm an idiot, this works fine, somehow I missed the popup in the python
gui, all is good, thanks for this excellent project!

On Sat, Jan 26, 2013 at 1:49 PM, Steve Hill <kindageeky@gmail.com> wrote:

> I'm messing around with nltk in the notebook and was trying to produce a
> graphic (as a popup or inline) from ipython notebook. The thing is, this
> works from ipython / python command line, but not from the notebook.  The
> behavior is that the kernel busy message is displayed and nothing happens.
> I've played with the command line arguments such as "--pylab=tk" or
> "--gui=osx" or "--gui=tk", etc.  but can seem to get the rendered sentence
> tree to display.   I'm only posing this because we'll be doing a lot with
> NLTK and we love the ipython notebook feature.   It looks like the drawing
> in nltk uses Tkinter, so tried various ways to target tk.  For clarity, I
> am relatively new to python / ipython, so apologies in advance if I've
> missed something in the docs, but googled this for a couple hours, looked
> at the NLTK source, etc, and decided it was time to ask for help. Sample
> code is below.
> Thanks for any ideas!
> Steve
> import nltk, re, pretty
> sentences = nltk.sent_tokenize("I love ipython for prototyping and
> research in python and NLTK. I hope to figure out how to display sentence
> trees with POS tags in ipython")
> sentences = [nltk.word_tokenize(sent) for sent in sentences]
> sentences = [nltk.pos_tag(sent) for sent in sentences]
> grammar = "NP: {<DT>?<JJ>*<NN>}"
> cp = nltk.RegexpParser(grammar)
> result = cp.parse(sentences[0])
> print result  # this works
> #output
> (S
>   I/PRP
>   love/VBP
>   ipython/JJ
>   for/IN
>   (NP prototyping/NN)
>   and/CC
>   (NP research/NN)
>   in/IN
>   (NP python/NN)
>   and/CC
>   ./.)
> result.draw() #this doesn't work, kernel busy message and appears to hang
> ipython notebook
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