Fine Grain POS tags documentation

[TinoRed]

Hi! @dan-zeman @msimi @fginter

I am using SpaCy's italian model for research and from SpaCy's documentation I see it has been trained using this dataset.

Could you please provide some clarification (or documentation) on the meaning of the following fine-grain POS tags?

A, AP, B, BN, B_PC, CC, CS, DD, DE, DI, DQ, DR, E, E_RD, FB, FC, FF, FS, I, N, NO, PART, PC, PC_PC, PD, PE, PI, PP, PQ, PR, RD, RI, S, SP, SW, SYM, Sw, T, V, VA, VA_PC, VM, VM_PC, VM_PC_PC, V_B, V_PC, V_PC_PC, X

Inspecting the dataset I can see they are used to tag words but I cannot extract their meaning.

I tried to use SpaCy's explain() method but unfortunately only works with the English and German model.

It would really help me having something like the following explanation of the Universal Pos TAGS ( which are coarse-grain).

ADJ: adjective
ADP: adposition
ADV: adverb
AUX: auxiliary
CCONJ: coordinating conjunction
DET: determiner
INTJ: interjection
NOUN: noun
NUM: numeral
PART: particle
PRON: pronoun
PROPN: proper noun
PUNCT: punctuation
SCONJ: subordinating conjunction
SYM: symbol
VERB: verb
X: other

Thank you very much in advance!

[martinpopel]

I am not familiar with UD_Italian-ISDT XPOS tags, but see https://universaldependencies.org/docs/tagset-conversion/it-isdt-uposf.html and ufal/udpipe#155 (comment)

[msang]

hi @TinoRed you can find the meaning (in short) of the language-specific tags in the UPOS documentation for Italian https://github.com/UniversalDependencies/docs/tree/pages-source/_it/pos

(you should check every single page, though)

best,
manuela

[msimi]

The documentation of the Italian fine grain tags is here: http://medialab.di.unipi.it/wiki/POS_and_morphology <http://medialab.di.unipi.it/wiki/POS_and_morphology> — M. Simi

…

On 23 Sep 2021, at 14:44, TinoRed ***@***.***> wrote: Hi! I am using SpaCy's italian model for research and from SpaCy's documentation I see it has been trained using this dataset. Could you please provide some clarification (or documentation) on the meaning of the following fine-grain POS tags? A, AP, B, BN, B_PC, CC, CS, DD, DE, DI, DQ, DR, E, E_RD, FB, FC, FF, FS, I, N, NO, PART, PC, PC_PC, PD, PE, PI, PP, PQ, PR, RD, RI, S, SP, SW, SYM, Sw, T, V, VA, VA_PC, VM, VM_PC, VM_PC_PC, V_B, V_PC, V_PC_PC, X Inspecting the dataset I can see they are used to tag words but I cannot extract their meaning. I tried to use SpaCy's explain() method but unfortunately only works with the English and German model. It would really help me having something like the following explanation of the Universal Pos TAGS ( which are coarse-grain). ADJ: adjective ADP: adposition ADV: adverb AUX: auxiliary CCONJ: coordinating conjunction DET: determiner INTJ: interjection NOUN: noun NUM: numeral PART: particle PRON: pronoun PROPN: proper noun PUNCT: punctuation SCONJ: subordinating conjunction SYM: symbol VERB: verb X: other Thank you very much in advance! — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#3>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ACFLY7LFNAITRQLYNXOW2BLUDMOMJANCNFSM5ETTD65A>. Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>.