def load_ace_file(textfile, fmt):
print ' - %s' % os.path.split(textfile)[1]
annfile = textfile+'.tmx.rdc.xml'
# Read the xml file, and get a list of entities
entities = []
xml = ET.parse(open(annfile)).getroot()
for entity in xml.findall('document/entity'):
typ = entity.find('entity_type').text
for mention in entity.findall('entity_mention'):
if mention.get('TYPE') != 'NAME': continue # only NEs
s = int(mention.find('head/charseq/start').text)
e = int(mention.find('head/charseq/end').text)+1
entities.append( (s, e, typ) )
# Read the text file, and mark the entities.
text = open(textfile).read()
# Strip XML tags, since they don't count towards the indices
text = re.sub('<(?!/?TEXT)[^>]+>', '', text)
# Blank out anything before/after <TEXT>
def subfunc(m): return ' '*(m.end()-m.start()-6)
text = re.sub('[\s\S]*<TEXT>', subfunc, text)
text = re.sub('</TEXT>[\s\S]*', '', text)
# Simplify quotes
text = re.sub("``", ' "', text)
text = re.sub("''", '" ', text)
entity_types = set(typ for (s,e,typ) in entities)
# Binary distinction (NE or not NE)
if fmt == 'binary':
i = 0
toks = nltk.Tree('S', [])
for (s,e,typ) in sorted(entities):
if s < i: s = i # Overlapping! Deal with this better?
if e <= s: continue
toks.extend(nltk.word_tokenize(text[i:s]))
toks.append(nltk.Tree('NE', text[s:e].split()))
i = e
toks.extend(nltk.word_tokenize(text[i:]))
yield toks
# Multiclass distinction (NE type)
elif fmt == 'multiclass':
i = 0
toks = nltk.Tree('S', [])
for (s,e,typ) in sorted(entities):
if s < i: s = i # Overlapping! Deal with this better?
if e <= s: continue
toks.extend(nltk.word_tokenize(text[i:s]))
toks.append(nltk.Tree(typ, text[s:e].split()))
i = e
toks.extend(nltk.word_tokenize(text[i:]))
yield toks
else:
raise ValueError('bad fmt value')
def load_ace_file(textfile, fmt):
print ' - %s' % os.path.split(textfile)[1]
annfile = textfile+'.tmx.rdc.xml'
# Read the xml file, and get a list of entities
entities = []
xml = ET.parse(open(annfile)).getroot()
for entity in xml.findall('document/entity'):
typ = entity.find('entity_type').text
for mention in entity.findall('entity_mention'):
if mention.get('TYPE') != 'NAME': continue # only NEs
s = int(mention.find('head/charseq/start').text)
e = int(mention.find('head/charseq/end').text)+1
entities.append( (s, e, typ) )
# Read the text file, and mark the entities.
text = open(textfile).read()
# Strip XML tags, since they don't count towards the indices
text = re.sub('<(?!/?TEXT)[^>]+>', '', text)
# Blank out anything before/after <TEXT>
def subfunc(m): return ' '*(m.end()-m.start()-6)
text = re.sub('[\s\S]*<TEXT>', subfunc, text)
text = re.sub('</TEXT>[\s\S]*', '', text)
# Simplify quotes
text = re.sub("``", ' "', text)
text = re.sub("''", '" ', text)
entity_types = set(typ for (s,e,typ) in entities)
# Binary distinction (NE or not NE)
if fmt == 'binary':
i = 0
toks = nltk.Tree('S', [])
for (s,e,typ) in sorted(entities):
if s < i: s = i # Overlapping! Deal with this better?
if e <= s: continue
toks.extend(nltk.word_tokenize(text[i:s]))
toks.append(nltk.Tree('NE', text[s:e].split()))
i = e
toks.extend(nltk.word_tokenize(text[i:]))
yield toks
# Multiclass distinction (NE type)
elif fmt == 'multiclass':
i = 0
toks = nltk.Tree('S', [])
for (s,e,typ) in sorted(entities):
if s < i: s = i # Overlapping! Deal with this better?
if e <= s: continue
toks.extend(nltk.word_tokenize(text[i:s]))
toks.append(nltk.Tree(typ, text[s:e].split()))
i = e
toks.extend(nltk.word_tokenize(text[i:]))
yield toks
else:
raise ValueError('bad fmt value')
def roleset(self, roleset_id):
"""
@return: the xml description for the given roleset.
"""
lemma = roleset_id.split('.')[0]
framefile = 'frames/%s.xml' % lemma
if framefile not in self._framefiles:
raise ValueError('Frameset file for %s not found' %
roleset_id)
etree = ElementTree.parse(self.abspath(framefile)).getroot()
for roleset in etree.findall('predicate/roleset'):
if roleset.attrib['id'] == roleset_id:
return roleset
else:
raise ValueError('Roleset %s not found in %s' %
(roleset_id, framefile))
def roleset(self, roleset_id):
"""
@return: the xml description for the given roleset.
"""
lemma = roleset_id.split('.')[0]
framefile = 'frames/%s.xml' % lemma
if framefile not in self._framefiles:
raise ValueError('Frameset file for %s not found' % roleset_id)
# n.b.: The encoding for XML fileids is specified by the file
# itself; so we ignore self._encoding here.
etree = ElementTree.parse(self.abspath(framefile).open()).getroot()
for roleset in etree.findall('predicate/roleset'):
if roleset.attrib['id'] == roleset_id:
return roleset
else:
raise ValueError('Roleset %s not found in %s' %
(roleset_id, framefile))
def roleset(self, roleset_id):
"""
@return: the xml description for the given roleset.
"""
lemma = roleset_id.split('.')[0]
framefile = 'frames/%s.xml' % lemma
if framefile not in self._framefiles:
raise ValueError('Frameset file for %s not found' %
roleset_id)
# n.b.: The encoding for XML fileids is specified by the file
# itself; so we ignore self._encoding here.
etree = ElementTree.parse(self.abspath(framefile).open()).getroot()
for roleset in etree.findall('predicate/roleset'):
if roleset.attrib['id'] == roleset_id:
return roleset
else:
raise ValueError('Roleset %s not found in %s' %
(roleset_id, framefile))
def parse_from_file(self, filename):
self._raw = ElementTree.parse(filename)
self.filename_ = filename
self.parse_tree(self._raw)
if ord(c) > 127:
print '%r U+%04x %s' % (c.encode('utf8'), ord(c), unicodedata.name(c))
print line.find(u'zosta\u0142y')
line = line.lower()
import re
print line.encode('unicode_escape')
m = re.search(u'\u015b\w*', line)
print m.group()
from nltk.tokenize import WordTokenizer
tokenizer = WordTokenizer()
print tokenizer.tokenize(line)
path = nltk.data.find('samples/sinorama-gb.xml')
f = codecs.open(path, encoding='gb2312')
lines = f.readlines()
for l in lines:
l = l[:-1]
utf_enc = l.encode('utf8')
print repr(utf_enc)
path = nltk.data.find('samples/sinorama-utf8.xml')
from nltk.etree import ElementTree as ET
tree = ET.parse(path)
text = tree.findtext('sent')
uni_text = text.encode('utf8')
print repr(uni_text.splitlines()[1])
print "text=", text