Lemmatisierung in NLP
# Lemmatize with POS Tag
from nltk.corpus import wordnet
def get_wordnet_pos(word):
"""Map POS tag to first character lemmatize() accepts"""
tag = nltk.pos_tag([word])[0][1][0].upper()
tag_dict = {"J": wordnet.ADJ,
"N": wordnet.NOUN,
"V": wordnet.VERB,
"R": wordnet.ADV}
return tag_dict.get(tag, wordnet.NOUN)
# 1. Init Lemmatizer
lemmatizer = WordNetLemmatizer()
# 2. Lemmatize Single Word with the appropriate POS tag
word = 'feet'
print(lemmatizer.lemmatize(word, get_wordnet_pos(word)))
Martian