如何在wordnet中获取相似的单词(不仅仅是同义词)？

import nltk
from nltk.corpus import wordnet

# 加载WordNet数据
nltk.download('wordnet')

def get_similar_words(word):
    # 获取目标单词的词汇编号
    synsets = wordnet.synsets(word)

    # 存储相似单词的列表
    similar_words = []

    # 遍历每个词汇编号，获取相关的词汇关系
    for synset in synsets:
        # 获取上位词
        hypernyms = synset.hypernyms()
        for hypernym in hypernyms:
            similar_words.extend(hypernym.lemma_names())

        # 获取下位词
        hyponyms = synset.hyponyms()
        for hyponym in hyponyms:
            similar_words.extend(hyponym.lemma_names())

        # 获取部分整体关系
        meronyms = synset.part_meronyms()
        for meronym in meronyms:
            similar_words.extend(meronym.lemma_names())
        holonyms = synset.part_holonyms()
        for holonym in holonyms:
            similar_words.extend(holonym.lemma_names())

        # 获取同源关系（同义词）
        synonyms = synset.lemma_names()
        similar_words.extend(synonyms)

    # 去除重复单词并返回结果
    return list(set(similar_words))

# 测试示例
word = 'car'
similar_words = get_similar_words(word)
print(similar_words)