exit("Please give a path to a file of sentences.")
try:
grammar_path = sys.argv[2]
except IndexError:
exit("Please give a path to a file with a grammar.")
with open(sentence_path) as sentence_file:
sentence_data = sentence_file.read()
sentences = sentence_data.strip().split("\n")
sentences = [nltk.wordpunct_tokenize(sentence) for sentence in sentences]
parser = CKYParser(grammar_path)
delimiter = 40 * "-"
metadata = ["Kathryn Nichols", "Stefan Behr", "LING 571", "Project 1"]
print "\n".join("# {0}".format(datum) for datum in metadata)
print delimiter
# iterate over tokenized sentences, parse each
# and output parses
for sentence in sentences:
sentence = ["'{0}'".format(token) for token in sentence
] # make sure tokens are single-quoted
parses = parser.get_parses(sentence)
sys.stdout.write(print_parses(parses))
print len(parses)
print delimiter
except IndexError:
exit("Please give a path to a file of sentences.")
try:
grammar_path = sys.argv[2]
except IndexError:
exit("Please give a path to a file with a grammar.")
with open(sentence_path) as sentence_file:
sentence_data = sentence_file.read()
sentences = sentence_data.strip().split("\n")
sentences = [nltk.wordpunct_tokenize(sentence) for sentence in sentences]
parser = CKYParser(grammar_path)
delimiter = 40 * "-"
metadata = ["Kathryn Nichols", "Stefan Behr", "LING 571", "Project 1"]
print "\n".join("# {0}".format(datum) for datum in metadata)
print delimiter
# iterate over tokenized sentences, parse each
# and output parses
for sentence in sentences:
sentence = ["'{0}'".format(token) for token in sentence] # make sure tokens are single-quoted
parses = parser.get_parses(sentence)
sys.stdout.write(print_parses(parses))
print len(parses)
print delimiter
