Part-of-speech tagging

Standard tagging

Standard part-of-speech tagging is the deep linguistic analysis process that marks up each token with the corresponding Universal POS tag.

For example, for this sentence:

Michael Jordan was one of the best basketball players of all time.

standard part-of-speech tagging produces this output:

Token	Part-of-speech	Universal POS tag
Michael Jordan	Proper noun	PROPN
was	Auxiliary	AUX
one	Numeral	NUM
of	Adposition	ADP
the	Determiner	DET
best	Adjective	ADJ
basketball players	Noun	NOUN
of	Adposition	ADP
all	Determiner	DET
time	Noun	NOUN
.	Punctuation	PUNCT

Standard part-of-speech tagging output is part of the JSON object returned by deep linguistic analysis.

Custom tagging

In addition to standard part-of-speech tagging, deep linguistic analysis marks up both tokens and atoms with custom expert.ai type labels.
expert.ai types combine part-of-speech information with entity type information.
For example, for the following sentence:

Please Travis, take me to Avalon. Do you mind if I bring my dog Bella with me?

custom tagging is:

Token	Type description	Custom expert.ai label
Please	Adverb	ADV
Travis	Proper name of a human being	NPR.NPH
,	Punctuation	PNT
take	Verb	VER
me	Pronoun	PRO
to	Preposition	PRE
Avalon	Proper noun of an extra-terrestrial or imaginary place	GEX
.	Punctuation	PNT
Do	Auxiliary verb	AUX
you	Pronoun	PRO
mind	Verb	VER
if	Conjunction	CON
I	Pronoun	PRO
bring	Verb	VER
my	Adjective	ADJ
dog	Noun	NOU
Bella	Proper noun of an animal	NPR.ANM
with	Preposition	PRE
me	Pronoun	PRO
?	Punctuation	PNT

As mentioned above, the expert.ai type is also attributed to atoms, while standard part-of-speech tagging stops at the token level.

Custom part-of-speech tagging output is part of the JSON object returned by deep linguistic analysis.