Comments (3)
You're missing something!
EDIT: Do i need to tokenize and lemmatize the sentence first?
No.
PS: You can also run on the command line:
λ wordpos get the quick brown fox jumped over the lazy dog
# Noun 4:
quick
brown
fox
dog
# Adjective 3:
quick
brown
lazy
# Verb 3:
brown
fox
dog
# Adverb 1:
quick
from wordpos.
Ok ... after some research, what I've determined is that the getPOS function isn't doing what I thought it was. It is simply returning 4 arrays (Nouns, Adjectives, Verbs, and Adverbs). For each word-token in the string I pass, wordpos simply checks wordnet to see if that toeken can be used as a noun, verb, adjective or adverb. It does NOT tell me how the word is being used in the passed sentence.
For example, the word 'quick' has 8 entries in WordNet, one adverb, one noun and 6 as adjectives.
What I expected to have returned to me is Part of Speech that is actually being used in the sentence. For example, if I passed
'He is trying to fish for fish in the lake.'
I would expect to see the first instance of 'fish' be a verb and the second instance as a noun. But that's not what the getPOS function does. It seems that your code is working as designed, I just didn't understand from your documentation what to expect.
You can close this issue.
from wordpos.
Ah - thanks for clarifying the confusion. I see how this would be confusing. There is a mention in the readme:
This has no relation to correct grammar of given sentence, where here only 'bear' and 'squirrel' would be considered nouns.
Maybe I'll make that more prominent in the next update. Thanks.
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