Extract Word from Synset using Wordnet in NLTK 3.0
Solution 1
WordNet works fine in NLTK 3.0. You are just accessing the lemmas (and names) in the wrong way. Try this instead:
>>> import nltk
>>> nltk.__version__
'3.0.0'
>>> from nltk.corpus import wordnet as wn
>>> for synset in wn.synsets('dog'):
for lemma in synset.lemmas():
print lemma.name()
dog
domestic_dog
Canis_familiaris
frump
dog
dog
cad
bounder
blackguard
...
synset.lemmas
is a method and does not have a __getitem__()
method (and so is not subscriptable).
Solution 2
You can also go directly to the lemma names with lemma_names()
:
>>> wordnet.synset('dog.n.1').lemma_names()
['dog', 'domestic_dog', 'Canis_familiaris']
And it works for multiple languages
>>>> wordnet.synset('dog.n.1').lemma_names(lang='jpn')
['イヌ', 'ドッグ', '洋犬', '犬', '飼犬', '飼い犬']
Solution 3
Use:
wn.synset('dog.n.1').name()
instead of:
wn.synset('dog.n.1').name
because NLTK changed Synset properties to get functions instead. see https://github.com/nltk/nltk/commit/ba8ab7e23ea2b8d61029484098fd62d5986acd9c
This is a good list of changes to NLTK's API to suit py3.x: https://github.com/nltk/nltk/wiki/Porting-your-code-to-NLTK-3.0
Comments
-
duhaime almost 2 years
Some time ago, someone on SO asked how to retrieve a list of words for a given synset using NLTK's wordnet wrapper. Here is one of the suggested responses:
for synset in wn.synsets('dog'): print synset.lemmas[0].name
Running this code with NLTK 3.0 yields
TypeError: 'instancemethod' object is not subscriptable
.I tried each of the previously-proposed solutions (each of the solutions described on the page linked above), but each throws an error. I therefore wanted to ask: Is it possible to print the words for a list of synsets with NLTK 3.0? I would be thankful for any advice others can offer on this question.
-
Rajesh Mappu about 8 yearsI am getting error at this syntax : nltk.__version__'3.0.0' My NLTK version is 3.2.1, I tried nltk.__version__ '3.2.1'. But getting error.