from spacy.vocab import Vocab from spacy.tagger import Tagger from spacy.tokens import Doc from spacy.gold import GoldParse vocab = Vocab(tag_map={'N': {'pos': 'NOUN'}, 'V': {'pos': 'VERB'}}) tagger = Tagger(vocab) doc = Doc(vocab, words=['I', 'like', 'stuff']) gold = GoldParse(doc, tags=['N', 'V', 'N']) tagger.update(doc, gold) tagger.model.end_training()