NLTK was unable to find stanford-parser\.jar! Set the CLASSPATH environment variable

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the nltk.parse.stanford in nltk3.2.5.

from nltk.parse.stanford import *

# CoreNLPServer = CoreNLPServer(path_to_jar="/home/fonttian/NLP/stanford/")

# dep_parser=StanfordDependencyParser(model_path="/home/fonttian/NLP/stanford/stanford-chinese-corenlp-2017-06-09-models/edu/stanford/nlp/models/lexparser/chinesePCFG.ser.gz")

====>

dep_parser=StanfordDependencyParser(model_path="edu/stanford/nlp/models

/lexparser/chinesePCFG.ser.gz") File "/home/fonttian/anaconda3/lib/python3.6/site- packages/nltk/parse/stanford.py", line 52, in init key=lambda model_path: os.path.dirname(model_path) File "/home/fonttian/anaconda3/lib/python3.6/site- packages/nltk/internals.py", line 716, in find_jar_iter raise LookupError('\n\n%s\n%s\n%s' % (div, msg, div)) LookupError: 

============================
  NLTK was unable to find stanford-parser\.jar! Set the CLASSPATH
  environment variable.

  For more information, on stanford-parser\.jar, see:
    <https://nlp.stanford.edu/software/lex-parser.shtml>
===============================
stanford-nlp nltk nlp
2 Answers

You need to add the jars for the Stanford parser and the models to your CLASSPATH:

  1. download Stanford CoreNLP 3.8.0 (and the Chinese models jar) available here: https://stanfordnlp.github.io/CoreNLP/download.html

  2. place the Chinese models jar in the Stanford CoreNLP folder

  3. add this to your Python: 

    os.environ['CLASSPATH'] = "/path/to/stanford-corenlp-full-2017-06-09/*"

I think that should fix your issue.

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