The word 'red' is recognised as a verb. I believe it's because it thinks it is, following the pattern. In the pattern, a word with an '-ed' suffix is a verb...or something like that.
How can I make exceptions or fix this issue. It might occur with other words later.
def LanguageTokenize(read):
read = word_tokenize(read)
read = nltk.pos_tag(read)
return read
>>> LanguageTokenize('the red cat')
*returns [('the', 'DT'), ('red', 'VBN'), ('cat', 'NN')]