64 lines
1.6 KiB
Python
64 lines
1.6 KiB
Python
'''
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Estimate a user's vocabulary level given his vocabulary data
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Estimate an English article's difficulty level given its content
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Preliminary design
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Hui, 2024-09-23
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Last upated: 2024-09-25, 2024-09-30
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'''
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import pickle
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def load_record(pickle_fname):
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with open(pickle_fname, 'rb') as f:
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d = pickle.load(f)
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return d
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class VocabularyLevelEstimator:
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_test = load_record('static\words_and_tests.p') # map a word to the sources where it appears
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@property
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def level(self):
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total = len(self._test)
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num = 0
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for word in self.word_lst:
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num += 1
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if word in self._test:
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print(f'{word} : {self._test[word]}')
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else:
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print(f'{word}')
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if num == 0:
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return 0
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return total/num
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class UserVocabularyLevel(VocabularyLevelEstimator):
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def __init__(self, d):
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self.d = d
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self.word_lst = list(d.keys())
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# just look at the most recently-added words
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class ArticleVocabularyLevel(VocabularyLevelEstimator):
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def __init__(self, content):
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self.content = content
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self.word_lst = content.lower().split()
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# select the 10 most difficult words
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if __name__ == '__main__':
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d = load_record('frequency_zhangsan.pickle')
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print(d)
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#换行
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print('------------')
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user = UserVocabularyLevel(d)
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print(user.level) # level is a property
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print('------------')
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article = ArticleVocabularyLevel('This is an interesting article')
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print(article.level)
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