(base) ~$ python
Python 3.9.16 | packaged by conda-forge | (main, Feb  1 2023, 21:38:11) 
[Clang 14.0.6 ] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import nltk
>>> nltk.pos_tag(nltk.word_tokenize('Mary filed a file under dangerous weapons.'))
[('Mary', 'NNP'), ('filed', 'VBD'), ('a', 'DT'), ('file', 'NN'), ('under', 'IN'), ('dangerous', 'JJ'), ('weapons', 'NNS'), ('.', '.')]
>>> nltk.pos_tag(nltk.word_tokenize('Tell Mary to file the file under dangerous weapons.'))
[('Tell', 'NNP'), ('Mary', 'NNP'), ('to', 'TO'), ('file', 'VB'), ('the', 'DT'), ('file', 'NN'), ('under', 'IN'), ('dangerous', 'JJ'), ('weapons', 'NNS'), ('.', '.')]
>>> l = nltk.pos_tag(nltk.word_tokenize('Tell Mary to file the file under dangerous weapons.'))
>>> [tuple[0] for tuple in l]
['Tell', 'Mary', 'to', 'file', 'the', 'file', 'under', 'dangerous', 'weapons', '.']
>>> [tuple[1] for tuple in l]
['NNP', 'NNP', 'TO', 'VB', 'DT', 'NN', 'IN', 'JJ', 'NNS', '.']
>>> 



>>> from nltk.corpus import brown
>>> brown.tagged_sents()
[[('The', 'AT'), ('Fulton', 'NP-TL'), ('County', 'NN-TL'), ('Grand', 'JJ-TL'), ('Jury', 'NN-TL'), ('said', 'VBD'), ('Friday', 'NR'), ('an', 'AT'), ('investigation', 'NN'), ('of', 'IN'), ("Atlanta's", 'NP$'), ('recent', 'JJ'), ('primary', 'NN'), ('election', 'NN'), ('produced', 'VBD'), ('``', '``'), ('no', 'AT'), ('evidence', 'NN'), ("''", "''"), ('that', 'CS'), ('any', 'DTI'), ('irregularities', 'NNS'), ('took', 'VBD'), ('place', 'NN'), ('.', '.')], [('The', 'AT'), ('jury', 'NN'), ('further', 'RBR'), ('said', 'VBD'), ('in', 'IN'), ('term-end', 'NN'), ('presentments', 'NNS'), ('that', 'CS'), ('the', 'AT'), ('City', 'NN-TL'), ('Executive', 'JJ-TL'), ('Committee', 'NN-TL'), (',', ','), ('which', 'WDT'), ('had', 'HVD'), ('over-all', 'JJ'), ('charge', 'NN'), ('of', 'IN'), ('the', 'AT'), ('election', 'NN'), (',', ','), ('``', '``'), ('deserves', 'VBZ'), ('the', 'AT'), ('praise', 'NN'), ('and', 'CC'), ('thanks', 'NNS'), ('of', 'IN'), ('the', 'AT'), ('City', 'NN-TL'), ('of', 'IN-TL'), ('Atlanta', 'NP-TL'), ("''", "''"), ('for', 'IN'), ('the', 'AT'), ('manner', 'NN'), ('in', 'IN'), ('which', 'WDT'), ('the', 'AT'), ('election', 'NN'), ('was', 'BEDZ'), ('conducted', 'VBN'), ('.', '.')], ...]
>>> brown.tagged_sents(tagset='universal')
[[('The', 'DET'), ('Fulton', 'NOUN'), ('County', 'NOUN'), ('Grand', 'ADJ'), ('Jury', 'NOUN'), ('said', 'VERB'), ('Friday', 'NOUN'), ('an', 'DET'), ('investigation', 'NOUN'), ('of', 'ADP'), ("Atlanta's", 'NOUN'), ('recent', 'ADJ'), ('primary', 'NOUN'), ('election', 'NOUN'), ('produced', 'VERB'), ('``', '.'), ('no', 'DET'), ('evidence', 'NOUN'), ("''", '.'), ('that', 'ADP'), ('any', 'DET'), ('irregularities', 'NOUN'), ('took', 'VERB'), ('place', 'NOUN'), ('.', '.')], [('The', 'DET'), ('jury', 'NOUN'), ('further', 'ADV'), ('said', 'VERB'), ('in', 'ADP'), ('term-end', 'NOUN'), ('presentments', 'NOUN'), ('that', 'ADP'), ('the', 'DET'), ('City', 'NOUN'), ('Executive', 'ADJ'), ('Committee', 'NOUN'), (',', '.'), ('which', 'DET'), ('had', 'VERB'), ('over-all', 'ADJ'), ('charge', 'NOUN'), ('of', 'ADP'), ('the', 'DET'), ('election', 'NOUN'), (',', '.'), ('``', '.'), ('deserves', 'VERB'), ('the', 'DET'), ('praise', 'NOUN'), ('and', 'CONJ'), ('thanks', 'NOUN'), ('of', 'ADP'), ('the', 'DET'), ('City', 'NOUN'), ('of', 'ADP'), ('Atlanta', 'NOUN'), ("''", '.'), ('for', 'ADP'), ('the', 'DET'), ('manner', 'NOUN'), ('in', 'ADP'), ('which', 'DET'), ('the', 'DET'), ('election', 'NOUN'), ('was', 'VERB'), ('conducted', 'VERB'), ('.', '.')], ...]
>>> 
>>> l = nltk.pos_tag(nltk.word_tokenize('That man thinks that I am crazy.'))
>>> l
[('That', 'DT'), ('man', 'NN'), ('thinks', 'VBZ'), ('that', 'IN'), ('I', 'PRP'), ('am', 'VBP'), ('crazy', 'JJ'), ('.', '.')]
>>>