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>
- Downloads last month
- 35
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.