我正在尝试从 nltk pos_tag 获取完整标签,但我找不到使用 nltk 执行此操作的简单方法。例如,使用tagsets='universal'.from nltk.tokenize import word_tokenizedef nltk_pos(text): token = word_tokenize(text) return (nltk.pos_tag(token)[0])[1]nltk_pos('home')output: 'NN'expected output: 'NOUN'
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我在为自己写的一篇论文做 NLP 分析时也遇到了同样的问题。我必须使用这样的映射函数:
import nltk
from nltk.tokenize import word_tokenize
def get_full_tag_pos(pos_tag):
tag_dict = {"J": "ADJ",
"N": "NOUN",
"V": "VERB",
"R": "ADV"}
# assuming pos_tag comes in as capital letters i.e. 'JJR' or 'NN'
return tag_dict.get(pos_tag[0], 'NOUN')
# example
words = word_tokenize(text)
words_pos = nltk.pos_tag(words)
full_tag_words_pos = [word_pos[0] + "/" + get_full_tag_pos(word_pos[1]) for word_pos in words_pos]
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