import stanfordnlp
MODELS_DIR = 'C:\\Users\\user\\stanfordnlp_resources\\'
nlp = stanfordnlp.Pipeline(processors='tokenize,pos,lemma', models_dir=MODELS_DIR, lang='es')

def get_lemmas(line):
    line = nlp(line)
    tagged = [[w.lemma for w in sent.words if w.pos == 'ADV' or w.pos == 'ADJ' or w.pos == 'VERB']
            for sent in line.sentences]
    return ' '.join([w for sent in tagged for w in sent])