The format of 'root_tree'

[aurora1625]

Hi,

I am trying to run your program to get the SVO structure of a sentence. No matter what I have tried, I continue to get the following error:

OSError: Java command failed : [u'/usr/bin/java', u'-mx1000m', '-cp', '/Users/sean/GDrive/stanford-parser-full-2015-12-09/stanford-parser.jar:/Users/sean/GDrive/stanford-parser-full-2015-12-09/stanford-parser-3.6.0-models.jar', u'edu.stanford.nlp.parser.lexparser.LexicalizedParser', u'-model', u'edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz', u'-sentences', u'newline', u'-outputFormat', u'penn', u'-encoding', u'utf8', '/var/folders/8m/xs71_j2x20b00g42c470pck00000gn/T/tmpdkJzfr']

So I use pycorenlp https://github.com/smilli/py-corenlp package to generate the parse tree and try to pass it back to your package. An example of the output parse tree is like this:

(ROOT
(S
(NP (DT The) (JJ third) (NN conflict))
(VP (VBZ has)
(VP (VBN been)
(VP (VBN caused)
(PP (IN by)
(NP
(NP (DT the)
(ADJP (RB highly) (JJ polluted))
(NN wastewater))
(PP (IN from)
(NP (DT the) (JJ industrial) (NN park)))))
(PP (IN around)
(NP
(NP (DT the) (NN town))
(PP (IN of)
(NP (NN Kemalpasha))))))))
(. .)))

which is a unicode.

Then I got the following error:

Traceback (most recent call last):
File "svo.py", line 213, in
tre = svo.process_parse_tree(next(root_tree))
TypeError: unicode object is not an iterator

So could you tell me what is the format is the root_tree, so I can transform my other output into your format and continue to run the program, thanks!

[klintan]

Hi,
It's an iterator object. But I'll see if i might extend it to be able to parse raw trees as well, however I'll see if I can find which format which is most widely used.

[yashchoubey]

Try removing "next" keyword. It worked for me.