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CoreNLP POS
CoreNLP POS-tagging is done using
CoreNLP Server using official pre-trained model invoked from fromnltk.parse.corenlp.CoreNLPParserWhat is the tag set used by the Stanford Tagger?You can train models for the Stanford POS Tagger with any tag set. For the models we distribute, the tag set depends on the language, reflecting the underlying treebanks that models have been built from. That is, the tag set was wholly or mainly decided by the treebank producers not us). Here are relevant links:
$ | 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. `, `` |
Tag | Description |
|---|---|
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 |
python -c "import nltk; nltk.help.upenn_tagset()"
Last modified 6mo ago