Stanford Dependency Parser Setup and NLTK

Question

So I got the \"standard\" Stanford Parser to work thanks to danger89\'s answers to this previous post, Stanford Parser and NLTK.

However, I am now trying to get the

Answer 1

The StanfordDependencyParser API is a new class object created since NLTK version 3.1.

Ensure that you have the latest NLTK available either through pip

pip install -U nltk

or through your linux package manager, e.g.:

sudo apt-get python-nltk

or in windows, download https://pypi.python.org/pypi/nltk and install and it should overwrite your previous NLTK version.

Then you can use the API as shown in the documentation:

from nltk.parse.stanford import StanfordDependencyParser
dep_parser=StanfordDependencyParser(model_path="edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz")
print [parse.tree() for parse in dep_parser.raw_parse("The quick brown fox jumps over the lazy dog.")]

[out]:

[Tree('jumps', [Tree('fox', ['The', 'quick', 'brown']), Tree('dog', ['over', 'the', 'lazy'])])]

(Note: Make sure you get your path to jar and os.environ correct, in Windows, it's something\\something\\some\\path, in unix it's something/something/some/path)

See also https://github.com/nltk/nltk/wiki/Installing-Third-Party-Software#stanford-tagger-ner-tokenizer-and-parser and when you need a TL;DR solution, see https://github.com/alvations/nltk_cli

Answer 2

If the only thing you changed was 'StanfordDependencyParser' and the error states: module' object has no attribute 'StanfordDependencyParser' I would assume that StanfordDependencyParser was the wrong thing to change it to. Have you copied all of the code that you linked to verbatim?