本文整理汇总了Python中PyDictionary.PyDictionary.getMeanings方法的典型用法代码示例。如果您正苦于以下问题：Python PyDictionary.getMeanings方法的具体用法？Python PyDictionary.getMeanings怎么用？Python PyDictionary.getMeanings使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类PyDictionary.PyDictionary的用法示例。
在下文中一共展示了PyDictionary.getMeanings方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: process_dictionary
# 需要导入模块: from PyDictionary import PyDictionary [as 别名]
# 或者: from PyDictionary.PyDictionary import getMeanings [as 别名]
def process_dictionary(word):
meaning = "You searched for the word {}. "
dictionary = PyDictionary(word)
our_meaning = dictionary.getMeanings()
meaning = meaning.format(our_meaning.keys()[0])
l = zip(our_meaning.values()[0].keys(),our_meaning.values()[0].values()[0])
for idx in l:
meaning += idx[0] + ":" + idx[1] + ", "
return meaning[:-1]示例2: print
# 需要导入模块: from PyDictionary import PyDictionary [as 别名]
# 或者: from PyDictionary.PyDictionary import getMeanings [as 别名]
tokens = nltk.word_tokenize(s)
print(tokens)
'''
f = open("text.txt","r")
#s = nltk.word_tokenize(f.read())
tokenizer = RegexpTokenizer('\w+')
s = tokenizer.tokenize(f.read())
freq = nltk.FreqDist(x.lower() for x in s)
#freq = dict(freq)
#print(freq.most_common(100))
#print(freq)
print('--------------------\n\n')
#print(stopwords.words('english'))
#dictionary
from PyDictionary import PyDictionary
dictionary=PyDictionary("hotel","cricket")
#There can be any number of words in the Instance
#print(dictionary.printMeanings()) #This print the meanings of all the words
print(dictionary.getMeanings()) #This will return meanings as dictionaries
#print(dictionary.getSynonyms())