要打印Word的所有lemma_names而不重复NLTK中的同义词和pos_tag,可以按照以下步骤进行:
import nltk
from nltk.corpus import wordnet as wn
def get_lemma_names(word):
lemma_names = set()
synsets = wn.synsets(word)
for synset in synsets:
for lemma in synset.lemmas():
lemma_names.add(lemma.name())
return lemma_names
def get_pos_tag(word):
synsets = wn.synsets(word)
if synsets:
return synsets[0].pos()
else:
return None
def print_unique_lemma_names(word):
lemma_names = get_lemma_names(word)
pos_tag = get_pos_tag(word)
print("Word: ", word)
print("POS Tag: ", pos_tag)
print("Unique Lemma Names: ", lemma_names)
print_unique_lemma_names("word")
这样就可以打印出Word的所有lemma_names而不重复NLTK中的同义词和pos_tag。请注意,以上代码使用NLTK库来获取同义词和pos_tag,不涉及任何特定的云计算品牌商。
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