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“>>> puzzle_letters = nltk.FreqDist('egivrvonl') >>> obligatory = 'r' >>> wordlist = nltk.corpus.words.words() >>> [w for w in wordlist if len(w) >= 6 ... and obligatory in w ... and nltk.FreqDist(w) <= puzzle_letters] ['glover', 'gorlin', 'govern', 'grovel', 'ignore', 'involver', 'lienor', 'linger', 'longer', 'lovering', 'noiler', 'overling', 'region', 'renvoi', 'revolving', 'ringle', 'roving', 'violer', 'virole']”
― Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit
― Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit
“>>> wn.synset('car.n.01').definition 'a motor vehicle with four wheels; usually propelled by an internal combustion engine' >>> wn.synset('car.n.01').examples ['he needs a car to get to work']”
― Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit
― Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit
