Using nlp.pipe() with pre-segmented and pre-tokenized text with spaCy
I am trying to tag and parse text that has already been split up in sentences and has already been tokenized. As an example: sents = [[‘I’, ‘like’, ‘cookies’, ‘.’], [‘Do’, ‘you’, ‘?’]] The fastest …