NLTK
Last updated
Last updated
NLTK POS-tagging is done with english nltk.pos_tag
which internally uses nltk.PerceptronTagger
.
Greedy Averaged Perceptron tagger, as implemented by Matthew Honnibal. See more implementation details here: https://explosion.ai/blog/part-of-speech-pos-tagger-in-python>
Quoted from https://www.nltk.org/api/nltk.tag.html
An off-the-shelf tagger is available for English. It uses the Penn Treebank tagset:
$
dollar e.g. $
, -$
, --$
, A$
, C$
, HK$
, M$
, NZ$
, S$
, U.S.$
, US$
''
closing quotation mark e.g. '
, ''
(
opening parenthesis e.g. (
, [
, {
,
comma e.g. ,
--
dash e.g. --
.
sentence terminator e.g. .
, !
, ?
:
colon or ellipsis e.g. :
, ;
, ...
``
opening quotation mark e.g. `
, ``
CC
conjunction, coordinating e.g. &
, 'n
, and
, both
, but
, either
, et
, for
, less
, minus
, neither
, nor
, or
, plus
, so
, therefore
, times
, v.
, versus
, vs.
, whether
, yet
CD
numeral, cardinal e.g. mid-1890
, nine-thirty
, forty-two
, one-tenth
, ten
, million
, 0.5
, one
, forty-
, seven
, 1987
, twenty
, '79
, zero
, two
, 78-degrees
, eighty-four
, IX
, '60s
, .025
, fifteen
, 271,124
, dozen
, quintillion
, DM2,000
, ...
DT
determiner e.g. all
, an
, another
, any
, both
, del
, each
, either
, every
, half
, la
, many
, much
, nary
, neither
, no
, some
, such
, that
, the
, them
, these
, this
, those
EX
existential there e.g. there
FW
foreign word e.g. gemeinschaft
, hund
, ich
, jeux
, habeas
, Haementeria
, Herr
, K'ang-si
, vous
, lutihaw
, alai
, je
, jour
, objets
, salutaris
, fille
, quibusdam
, pas
, trop
, Monte
, terram
, fiche
, oui
, corporis
, ...
IN
preposition or conjunction, subordinating e.g. astride
, among
, uppon
, whether
, out
, inside
, pro
, despite
, on
, by
, throughout
, below
, within
, for
, towards
, near
, behind
, atop
, around
, if
, like
, until
, below
, next
, into
, if
, beside
, ...
JJ
adjective or numeral, ordinal e.g. third
, ill-mannered
, pre-war
, regrettable
, oiled
, calamitous
, first
, separable
, ectoplasmic
, battery-powered
, participatory
, fourth
, still-to-be-named
, multilingual
, multi-disciplinary
, ...
JJR
adjective, comparative e.g. bleaker
, braver
, breezier
, briefer
, brighter
, brisker
, broader
, bumper
, busier
, calmer
, cheaper
, choosier
, cleaner
, clearer
, closer
, colder
, commoner
, costlier
, cozier
, creamier
, crunchier
, cuter
, ...
JJS
adjective, superlative e.g. calmest
, cheapest
, choicest
, classiest
, cleanest
, clearest
, closest
, commonest
, corniest
, costliest
, crassest
, creepiest
, crudest
, cutest
, darkest
, deadliest
, dearest
, deepest
, densest
, dinkiest
, ...
LS
list item marker e.g. A
, A.
, B
, B.
, C
, C.
, D
, E
, F
, First
, G
, H
, I
, J
, K
, One
, SP-44001
, SP-44002
, SP-44005
, SP-44007
, Second
, Third
, Three
, Two
, *
, a
, b
, c
, d
, first
, five
, four
, one
, six
, three
, two
MD
modal auxiliary e.g. can
, cannot
, could
, couldn't
, dare
, may
, might
, must
, need
, ought
, shall
, should
, shouldn't
, will
, would
NN
noun, common, singular or mass e.g. common-carrier
, cabbage
, knuckle-duster
, Casino
, afghan
, shed
, thermostat
, investment
, slide
, humour
, falloff
, slick
, wind
, hyena
, override
, subhumanity
, machinist
, ...
NNP
noun, proper, singular e.g. Motown
, Venneboerger
, Czestochwa
, Ranzer
, Conchita
, Trumplane
, Christos
, Oceanside
, Escobar
, Kreisler
, Sawyer
, Cougar
, Yvette
, Ervin
, ODI
, Darryl
, CTCA
, Shannon
, A.K.C.
, Meltex
, Liverpool
, ...
NNPS
noun, proper, plural e.g. Americans
, Americas
, Amharas
, Amityvilles
, Amusements
, Anarcho-Syndicalists
, Andalusians
, Andes
, Andruses
, Angels
, Animals
, Anthony
, Antilles
, Antiques
, Apache
, Apaches
, Apocrypha
, ...
NNS
noun, common, plural e.g. undergraduates
, scotches
, bric-a-brac
, products
, bodyguards
, facets
, coasts
, divestitures
, storehouses
, designs
, clubs
, fragrances
, averages
, subjectivists
, apprehensions
, muses
, factory-jobs
, ...
PDT
pre-determiner e.g. all
, both
, half
, many
, quite
, such
, sure
, this
POS
genitive marker e.g. '
, 's
PRP
pronoun, personal e.g. hers
, herself
, him
, himself
, hisself
, it
, itself
, me
, myself
, one
, oneself
, ours
, ourselves
, ownself
, self
, she
, thee
, theirs
, them
, themselves
, they
, thou
, thy
, us
PRP$
pronoun, possessive e.g. her
, his
, mine
, my
, our
, ours
, their
, thy
, your
RB
adverb e.g. occasionally
, unabatingly
, maddeningly
, adventurously
, professedly
, stirringly
, prominently
, technologically
, magisterially
, predominately
, swiftly
, fiscally
, pitilessly
, ...
RBR
adverb, comparative e.g. further
, gloomier
, grander
, graver
, greater
, grimmer
, harder
, harsher
, healthier
, heavier
, higher
, however
, larger
, later
, leaner
, lengthier
, less-
, perfectly
, lesser
, lonelier
, longer
, louder
, lower
, more
, ...
RBS
adverb, superlative e.g. best
, biggest
, bluntest
, earliest
, farthest
, first
, furthest
, hardest
, heartiest
, highest
, largest
, least
, less
, most
, nearest
, second
, tightest
, worst
RBS
adverb, superlative e.g. best
, biggest
, bluntest
, earliest
, farthest
, first
, furthest
, hardest
, heartiest
, highest
, largest
, least
, less
, most
, nearest
, second
, tightest
, worst
RBS
particle e.g. aboard
, about
, across
, along
, apart
, around
, aside
, at
, away
, back
, before
, behind
, by
, crop
, down
, ever
, fast
, for
, forth
, from
, go
, high
, i.e.
, in
, into
, just
, later
, low
, more
, off
, on
, open
, out
, over
, per
, pie
, raising
, start
, teeth
, that
, through
, under
, unto
, up
, up-pp
, upon
, whole
, with
, you
RP
particle e.g. aboard
, about
, across
, along
, apart
, around
, aside
, at
, away
, back
, before
, behind
, by
, crop
, down
, ever
, fast
, for
, forth
, from
, go
, high
, i.e.
, in
, into
, just
, later
, low
, more
, off
, on
, open
, out
, over
, per
, pie
, raising
, start
, teeth
, that
, through
, under
, unto
, up
, up-pp
, upon
, whole
, with
, you
SYM
symbol e.g. %
, &
, '
, ''
, ''.
, )
, ).
, *
, +
, ,.
, <
, =
, >
, @
, A[fj]
, U.S
, U.S.S.R
, *
, **
, ***
TO
"to" as preposition or infinitive marker e.g. to
UH
interjection e.g. Goodbye
, Goody
, Gosh
, Wow
, Jeepers
, Jee-sus
, Hubba
, Hey
, Kee-reist
, Oops
, amen
, huh
, howdy
, uh
, dammit
, whammo
, shucks
, heck
, anyways
, whodunnit
, honey
, golly
, man
, baby
, diddle
, hush
, sonuvabitch
, ...
VB
verb, base form e.g. ask
, assemble
, assess
, assign
, assume
, atone
, attention
, avoid
, bake
, balkanize
, bank
, begin
, behold
, believe
, bend
, benefit
, bevel
, beware
, bless
, boil
, bomb
, boost
, brace
, break
, bring
, broil
, brush
, build
, ...
VBD
verb, base form e.g. ask
, assemble
, assess
, assign
, assume
, atone
, attention
, avoid
, bake
, balkanize
, bank
, begin
, behold
, believe
, bend
, benefit
, bevel
, beware
, bless
, boil
, bomb
, boost
, brace
, break
, bring
, broil
, brush
, build
, ...
VBG
verb, present participle or gerund e.g. telegraphing
, stirring
, focusing
, angering
, judging
, stalling
, lactating
, hankerin'
, alleging
, veering
, capping
, approaching
, traveling
, besieging
, encrypting
, interrupting
, erasing
, wincing
, ...
VBN
verb, past participle e.g. multihulled
, dilapidated
, aerosolized
, chaired
, languished
, panelized
, used
, experimented
, flourished
, imitated
, reunifed
, factored
, condensed
, sheared
, unsettled
, primed
, dubbed
, desired
, ...
VBP
verb, present tense, not 3rd person singular e.g. predominate
, wrap
, resort
, sue
, twist
, spill
, cure
, lengthen
, brush
, terminate
, appear
, tend
, stray
, glisten
, obtain
, comprise
, detest
, tease
, attract
, emphasize
, mold
, postpone
, sever
, return
, wag
, ...
VBZ
verb, present tense, 3rd person singular e.g. bases
, reconstructs
, marks
, mixes
, displeases
, seals
, carps
, weaves
, snatches
, slumps
, stretches
, authorizes
, smolders
, pictures
, emerges
, stockpiles
, seduces
, fizzes
, uses
, bolsters
, slaps
, speaks
, pleads
, ...
WDT
WH-determiner e.g. that
, what
, whatever
, which
, whichever
WP
WH-determiner e.g. that
, what
, whatever
, which
, whichever
WP$
WH-pronoun, possessive e.g. whose
WRB
WH-adverb e.g. how
, however
, whence
, whenever
, where
, whereby
, whereever
, wherein
, whereof
, why
UPenn Treebank Docs https://catalog.ldc.upenn.edu/docs/LDC99T42/
python -c "import nltk; nltk.help.upenn_tagset()"