metadata
tags:
- flair
- token-classification
- sequence-tagger-model
language: fa
datasets:
- UPC-2017
widget:
- text: تمام ایران یک تابستان تنوری را تجربه میکند .
Persian Part-of-Speech Tagging in Flair
This is the part-of-speech tagging model for Persian that ships with Flair.
F1-Score: ?? (UPC-2017)
List of Tags in UPC:
| tag | meaning |
|---|---|
| ADJ | adjective |
| ADJ_CMPR | Comparative adjective |
| ADJ_INO | Participle adjective |
| ADJ_SUP | Superlative adjective |
| ADJ_VOC | Vocative adjective |
| ADV | Adverb |
| ADV_COMP | Adverb of comparison |
| ADV_I | Adverb of interrogation |
| ADV_LOC | Adverb of location |
| ADV_NEG | Adverb of negation |
| ADV_TIME | Adverb of time |
| CLITIC | Accusative marker |
| CON | Conjunction |
| DELM | Delimiter |
| DET | Determiner |
| FW | Foreign Word |
| INT | Interjection |
| N_PL | Plural noun |
| N_SING | Singular noun |
| NUM | Numeral |
| N_VOC | Vocative noun |
| P | Preposition |
| PREV | Preverbal particle |
| PRO | Pronoun |
| SYM | Symbol |
| V_AUX | Auxiliary verb |
| V_PA | Past tense verb |
| V_PP | Past participle verb |
| V_PRS | Present tense verb |
| V_SUB | Subjunctive verb |
Demo: How to use in Flair
Requires: Flair (pip install flair)
from flair.data import Sentence
from flair.models import SequenceTagger
# load tagger
tagger = SequenceTagger.load("hamedkhaledi/persain-flair-pos")
# make example sentence
sentence = Sentence("تمام ایران یک تابستان تنوری را تجربه میکند .")
tagger.predict(sentence)
# print result
print(sentence.to_tagged_string())
This yields the following output:
تمام <DET> ایران <N_SING> یک <NUM> تابستان <N_SING> تنوری <ADJ> را <CLITIC> تجربه <N_SING> میکند <V_PRS> . <DELM>