def parse(self):
text = Text()
with open(self.filename, "r") as file_:
for line_unenc in file_:
self._progress += 1
line = unicode(line_unenc.encode('utf8'))
if line.startswith(TEXT_SEPARATOR):
if (len(text.sentences) > 0):
yield text
text = Text()
continue
sentences = self.nlp_pipeline.sentence_segmentation(line)
for sentence in sentences:
s = Sentence()
s.set_sentence_text(sentence)
s.set_tokens(self.nlp_pipeline.parse_text(sentence))
text.add_sentence(s)
if (len(text.sentences) > 0):
yield text
def parse(self):
text = Text()
with open(self.filename, "r") as file_:
for line_unenc in file_:
self._progress += 1
line = unicode(line_unenc.encode('utf8'))
if line.startswith(TEXT_SEPARATOR):
if (len(text.sentences) > 0):
yield text
text = Text()
continue
sentences = self.nlp_pipeline.sentence_segmentation(line)
for sentence in sentences:
s = Sentence()
s.set_sentence_text(sentence)
s.set_tokens(self.nlp_pipeline.parse_text(sentence))
text.add_sentence(s)
if (len(text.sentences) > 0):
yield text
def parse(self):
with open(self.filename, "r") as file_:
text = Text()
sentence = Sentence()
sentence.tokens = []
for line_unenc in file_:
# end of a text reached
if line_unenc.rstrip() == END_OF_TEXT_MARKER:
yield text
text = Text()
continue
self._progress += 1
# parse line
line = unicode(line_unenc, errors='ignore')
line = line.rstrip()
# split line into word, pos_tags and type
line_parts = line.split('\t')
word = self._get_word(line_parts)
if word is None:
continue
pos_tags = self._get_pos_tags(line_parts)
punctuation = self._get_punctuation(line_parts)
sentence.tokens.extend(self._create_tokens(word, pos_tags, punctuation))
# we are at the end of a sentence
if punctuation == 'PERIOD':
if self.POS_TAGGING and not pos_tags:
self.nlp_pipeline.pos_tag(sentence.tokens)
text.add_sentence(sentence)
sentence = Sentence()
sentence.tokens = []
# if we do not have any end-of-text-marker
# return everything as one text
if len(text.sentences) > 0:
yield text