def process_document(self, doc):
cleaned_sents = []
for paragraph in doc['text'].values():
if type(paragraph) != str:
paragraph = paragraph.values()
else:
paragraph = self.sent_tokenizer.tokenize(paragraph)
for sent in paragraph:
if type(sent) is dict:
for subsent in sent.values():
tokenized = self.sent_tokenizer.tokenize(subsent)
for token in tokenized:
cleaned = tlg_plaintext_cleanup(
token, rm_punctuation=True, rm_periods=True)
sentence = cltk_normalize(cleaned)
if len(self.word_tokenizer.tokenize(sentence)) > 5:
cleaned_sents.append(sentence)
else:
tokenized = self.sent_tokenizer.tokenize(sent)
for token in tokenized:
cleaned = tlg_plaintext_cleanup(token,
rm_punctuation=True,
rm_periods=True)
sentence = cltk_normalize(cleaned)
if len(self.word_tokenizer.tokenize(sentence)) > 5:
cleaned_sents.append(sentence)
return cleaned_sents
def sentence_tokenize_corpus():
"""Fetches and tokenizes the corpus then writes it back out."""
with open("texts.csv", 'r') as f:
csv_reader = csv.reader(f, delimiter='\t')
print("Sentence tokenizing...")
for i, row in enumerate(csv_reader):
tokenized_texts = tokenize_with_custom_punkt_tokenizer(row[0])
rc = 0
group = ""
for num, text in enumerate(tokenized_texts):
text = strip_accents_from_sentence(text)
text = tlg_plaintext_cleanup(text, rm_punctuation=True, rm_periods=True)
wc = len(word_tokenizer.tokenize(text))
if wc > 5:
write_to_csv("sents.csv", [text], [row[1]], [row[2]])
rc += wc
group += text
if rc > 100:
write_to_csv("groups.csv", [group], [row[1]], [row[2]])
rc = 0
group = ""
write_to_csv("groups.csv", [group], [row[1]], [row[2]])
with open("spurious_texts.csv", 'r') as f:
csv_reader = csv.reader(f, delimiter='\t')
print("Sentence tokenizing...")
for i, row in enumerate(csv_reader):
tokenized_texts = tokenize_with_custom_punkt_tokenizer(row[0])
rc = 0
group = ""
for num, text in enumerate(tokenized_texts):
text = strip_accents_from_sentence(text)
text = tlg_plaintext_cleanup(text, rm_punctuation=True, rm_periods=True)
wc = len(word_tokenizer.tokenize(text))
if wc > 5:
write_spurious_to_csv("sents_spurious.csv", [text], [row[1]])
rc += wc
group += " "
group += text
if rc > 100:
write_spurious_to_csv("groups_spurious.csv", [group], [row[1]])
rc = 0
group = ""
write_spurious_to_csv("groups_spurious.csv", [group], [row[1]])
def tlgu_cleanup(self, rm_punctuation=True, rm_periods=False):
"""Fix TLG betacode texts using TLGU.
Necessary to cleanup TLG texts before processing, but can also used to
perform rudimentary cleaning operations on other Greek texts.
Args:
rm_punctuation (:obj:`bool`, optional) True to remove punctuation marks (exception periods)
rm_periods (:obj:`bool`, optional) True to remove periods
Returns:
:obj:`self.__class__` New instance with altered text
Example:
>>> text = AncientGreekText('ῖν», εἰς δὲ τὸν ἕτερον κ[α]ττίτ[ερον «εἰ λῶιον καὶ ἄμει]νόν ἐστι')
>>> print(text.tlgu_cleanup())
ῖν εἰς δὲ τὸν ἕτερον καττίτερον εἰ λῶιον καὶ ἄμεινόν ἐστι
""" # noqa
from cltk.corpus.utils.formatter import tlg_plaintext_cleanup
return self.__class__(
text=tlg_plaintext_cleanup(
self.data, rm_punctuation=rm_punctuation, rm_periods=rm_periods
),
options=self.options
)
def test_tlg_plaintext_cleanup_rm_periods(self):
"""Test post-TLGU cleanup of text of Greek TLG text."""
dirty = """{ΑΘΗΝΑΙΟΥ ΝΑΥΚΡΑΤΙΤΟΥ ΔΕΙΠΝΟΣΟΦΙΣΤΩΝ} LATIN Ἀθήναιος (μὲν) ὁ τῆς 999 βίβλου πατήρ: ποιεῖται δὲ τὸν λόγον πρὸς Τιμοκράτην.""" # pylint: disable=line-too-long
clean = tlg_plaintext_cleanup(dirty,
rm_punctuation=True,
rm_periods=True)
target = ' Ἀθήναιος ὁ τῆς βίβλου πατήρ ποιεῖται δὲ τὸν λόγον πρὸς Τιμοκράτην'
self.assertEqual(clean, target)
def test_tlg_plaintext_cleanup(self):
"""Test post-TLGU cleanup of text of Greek TLG text."""
dirty = """{ΑΘΗΝΑΙΟΥ ΝΑΥΚΡΑΤΙΤΟΥ ΔΕΙΠΝΟΣΟΦΙΣΤΩΝ} LATIN Ἀθήναιος (μὲν) ὁ τῆς 999 βίβλου πατήρ: ποιεῖται δὲ τὸν λόγον πρὸς Τιμοκράτην.""" # pylint: disable=line-too-long
clean = tlg_plaintext_cleanup(dirty, rm_punctuation=True, rm_periods=False)
target = ' Ἀθήναιος ὁ τῆς βίβλου πατήρ ποιεῖται δὲ τὸν λόγον πρὸς Τιμοκράτην.'
self.assertEqual(clean, target)
def tlgu_cleanup(self, rm_punctuation=True, rm_periods=False):
return self.__class__(data=tlg_plaintext_cleanup(
self.data, rm_punctuation=rm_punctuation, rm_periods=rm_periods),
metadata=self.metadata)
