import random

import nltk

from providedcode import dataset

from providedcode.transitionparser import TransitionParser

from providedcode.evaluate import DependencyEvaluator

from providedcode.dependencygraph import DependencyGraph

from featureextractor import FeatureExtractor

from transition import Transition

import sys

if __name__ == '__main__':

try:

model = sys.argv[1]

tp = TransitionParser.load(model)

for line in sys.stdin:

# temp = line.strip()

# temp = str(temp)

# parsing arbitrary sentences (english):

# print "[" + temp + "]"

temp = line

# temp = "Hi, this is a test."

sentence = DependencyGraph.from_sentence(temp)

for key, dct in sentence.nodes.items():

dct['ctag'] = nltk.tag.mapping.map_tag("en-ptb", "universal", dct['ctag'])

parsed = tp.parse([sentence])

print parsed[0].to_conll(10).encode('utf-8')

except NotImplementedError:

print """

This file is currently broken! We removed the implementation of Transition

(in transition.py), which tells the transitionparser how to go from one

Configuration to another Configuration. This is an essential part of the

arc-eager dependency parsing algorithm, so you should probably fix that :)

The algorithm is described in great detail here:

http://aclweb.org/anthology//C/C12/C12-1059.pdf

We also haven't actually implemented most of the features for for the

support vector machine (in featureextractor.py), so as you might expect the

evaluator is going to give you somewhat bad results...

Your output should look something like this:

LAS: 0.23023302131

UAS: 0.125273849831

Not this:

Traceback (most recent call last):

File "test.py", line 41, in <module>

...

NotImplementedError: Please implement shift!

"""