How would this be done with python using NLTK. The majority of WordNet's senses are
marked by five part-of-speech (POS) categories: noun (n), verb (v), adjective (a), adverb (r), and
satellite adjectives (s). Provide the percentage of words from the WordNet corpus that have
senses in more than one of these categories. For example, type has senses which connect to both
"noun" and "verb" POS (positive case), whereas typewriter has only senses which connect to
"noun" POS (negative case). Note that, for instance, the following code from nltk.corpus import
wordnet wordnet.synsets("cat","n") will return you all the senses of word "cat" that are nouns..
How would this be done with python using NLTK. The majority of WordN.pdf
1. How would this be done with python using NLTK. The majority of WordNet's senses are
marked by five part-of-speech (POS) categories: noun (n), verb (v), adjective (a), adverb (r), and
satellite adjectives (s). Provide the percentage of words from the WordNet corpus that have
senses in more than one of these categories. For example, type has senses which connect to both
"noun" and "verb" POS (positive case), whereas typewriter has only senses which connect to
"noun" POS (negative case). Note that, for instance, the following code from nltk.corpus import
wordnet wordnet.synsets("cat","n") will return you all the senses of word "cat" that are nouns.
