Stanford Parser and NLTK

Question

Is it possible to use Stanford Parser in NLTK? (I am not talking about Stanford POS.)

Answer 1

I took many hours and finally found a simple solution for Windows users. Basically its summarized version of an existing answer by alvas, but made easy to follow(hopefully) for those who are new to stanford NLP and are Window users.

1) Download the module you want to use, such as NER, POS etc. In my case i wanted to use NER, so i downloaded the module from http://nlp.stanford.edu/software/stanford-ner-2015-04-20.zip

2) Unzip the file.

3) Set the environment variables(classpath and stanford_modules) from the unzipped folder.

import os
os.environ['CLASSPATH'] = "C:/Users/Downloads/stanford-ner-2015-04-20/stanford-ner.jar"
os.environ['STANFORD_MODELS'] = "C:/Users/Downloads/stanford-ner-2015-04-20/classifiers/"

4) set the environment variables for JAVA, as in where you have JAVA installed. for me it was below

os.environ['JAVAHOME'] = "C:/Program Files/Java/jdk1.8.0_102/bin/java.exe"

5) import the module you want

from nltk.tag import StanfordNERTagger

6) call the pretrained model which is present in classifier folder in the unzipped folder. add ".gz" in the end for file extension. for me the model i wanted to use was english.all.3class.distsim.crf.ser

st = StanfordNERTagger('english.all.3class.distsim.crf.ser.gz')

7) Now execute the parser!! and we are done!!

st.tag('Rami Eid is studying at Stony Brook University in NY'.split())