headers = analyzed_file.readline().split(',')[1:] # Headers
data = analyzed_file.readline().split(',')[1:] # actual data
features = dict(zip(headers,data))
return features
if __name__ == '__main__':
#test_sample = [{'raw':'The big dog ate the fox.'},{'raw':'The orange kitten exploded.'},{'raw':'Glass cut through his veins.'},{'raw':'He shoved a stick up his asshole'}]
#features = get_structure_features(test_sample)
#for k,v in features.iteritems():
# print 'feature: ' + str(k) + ' value: ' + str(v)
#thread = start_stanford_server() # Start the server
dvr.get_all_pickles()
#thread.stop_server()
#root = build_tree('u(ROOT\n (S\n (NP (DT The) (JJ quick) (JJ brown) (NN fox))\n (VP (VBD jumped)\n (PP (IN over)\n (NP (DT the) (JJ lazy) (NN dog))))\n (. .)))')
# process dbank control
#get_structure_features('stanford/processed/dbank/control', 'dbank/control_SCA')
# process dbank dementia
#get_structure_features('stanford/processed/dbank/dementia', 'dbank/dementia_SCA')
# print "Starting server"
# thread = start_stanford_server() # Start the server
# try:
# tree = get_parse_tree('The quick brown fox jumped over the lazy dog.')
# root = build_tree(tree)
# print get_VP_2_AUX(tree_node)
# build_tree('u(ROOT\n (S\n (NP (DT The) (JJ quick) (JJ brown) (NN fox))\n (VP (VBD jumped)\n (PP (IN over)\n (NP (DT the) (JJ lazy) (NN dog))))\n (. .)))')
