def _break_and_wrap(text_to_tokenize_match):
text_to_tokenize = text_to_tokenize_match.group(0)
wrapped = ""
for token in Languages.tokenize(Languages.chinese.value, text_to_tokenize):
word_zh = WordZH.get_or_create_with_translator(word=token)[0]
wrapped += '<span class="chinese-word"><span>' + word_zh.pinyin + '</span><span>' + token + '</span></span>'
return wrapped
def auto_tokenize(self):
"""
Tokenize the business text into words, create their objects
if necessary and link the business text to them.
Only applied to Chinese words.
"""
word_model = to_word_model(self.language)
if word_model == WordZH:
tokens = Languages.tokenize(self.language, self.text)
self.words_zh.clear()
ordinal = 0
for token in tokens:
word_object = word_model.get_or_create_with_translator(word=token)[0]
BusinessTextWordZH.objects.create(text=self, word=word_object, ordinal=ordinal).save()
ordinal += 1