Part-of-speech tagging functionality for Georgian language. screeve-postagger is a small encoder model trained on Georgian National Corpus for part-of-speech tagging Georgian senteces
You can use this model with Transformers pipeline for token-classifcation.
from transformers import AutoModelForTokenClassification, AutoTokenizer, pipeline
model = AutoModelForTokenClassification.from_pretrained("Nargizi/screeve-postagger")
tokenizer = AutoTokenizer.from_pretrained("Nargizi/screeve-postagger")
tagger = pipeline("token-classification", model=model, tokenizer=tokenizer)
ka_sentence = "მე მივდივარ სახლში."
resutls = tagger(ka_sentence, aggregation_strategy='average')
print(results)Label descriptions:
| Abbreviation | Description |
|---|---|
| V | Verb |
| N | Noun |
| Pron | Pronoun |
| Interj | Interjection |
| A | Person’s name |
| Adv | Adverb |
| Cj | Conjunction |
| Punct | Punctuation |
| Num | Number |
| Pp | Preposition |