wordnet

I have a list of GRE words which I am getting a list of synsets for. for word in words: synsets = wordnet.synsets(word['name']) for synset in synsets: print synset.pos #prints part of speech For many of the words in the list, I see familiar parts of speech like verbs, nouns, etc. However, I am coming across many words which are classified with "s". I can't for the life of me figure out what part of speech "s" stands for. The only thing I can think of is that "s" stands for "singular", but that isn't a part of speech classification. For example, the word "admonitory" is an adjective. The two

I want to do the following in Python (I have the NLTK library, but I'm not great with Python, so I've written the following in a weird pseudocode): from nltk.corpus import wordnet as wn #Import the WordNet library for each adjective as adj in wn #Get all adjectives from the wordnet dictionary print adj & antonym #List all antonyms for each adjective once list is complete then export to txt file This is so I can generate a complete dictionary of antonyms for adjectives. I think it should be doable, but I don't know how to create the Python script. I'd like to do it in Python as that's the NLTK

According to the documentation i can load a sense tagged corpus in nltk as such: >>> from nltk.corpus import wordnet_ic >>> brown_ic = wordnet_ic.ic('ic-brown.dat') >>> semcor_ic = wordnet_ic.ic('ic-semcor.dat') I can also get the definition , pos , offset , examples as such: >>> wn.synset('dog.n.01').examples >>> wn.synset('dog.n.01').definition But how can get the frequency of a synset from a corpus? To break down the question: first how to count many times did a synset occurs a sense-tagged corpus? then the next step is to divide by the the count by the total number of counts for all

I am a complete beginner to NLP and NLTK. I was not able to understand the exact difference between lemmas and synsets in wordnet , because both are producing nearly the same output. for example for the word cake it produce this output. lemmas : [Lemma('cake.n.01.cake'), Lemma('patty.n.01.cake'), Lemma('cake.n.03.cake'), Lemma('coat.v.03.cake')] synsets : [Synset('cake.n.01'), Synset('patty.n.01'), Synset('cake.n.03'), Synset('coat.v.03')] please help me to understand this concept. Thank you. The terms are based on the general sense of the words "lemma" and "synonym". A lemma is wordnet's