🏷️ XLM-RoBERTa POS Tagger for Kabardian
This application identifies Parts of Speech (POS) in text using the panagoa/xlm-roberta-base-kbd-pos-tagger model.
The model is specifically fine-tuned for Kabardian language (адыгэбзэ) but also works with other languages. It was trained on the panagoa/kbd-pos-tags dataset containing 82,925 tagged sentences in Kabardian.
Example Kabardian sentences
POS Tags Supported
The model identifies 17 different POS tags:
| Tag | Description | Examples |
|---|---|---|
ADJ |
Adjective | хужь (white), къабзэ (clean) |
ADP |
Adposition | щхьэкIэ (for), папщIэ (because of) |
ADV |
Adverb | псынщIэу (quickly), жыжьэу (far) |
AUX |
Auxiliary | хъунщ (will be), щытащ (was) |
CCONJ |
Coordinating conjunction | икIи (and), ауэ (but) |
DET |
Determiner | мо (that), мыпхуэдэ (this kind) |
INTJ |
Interjection | уэлэхьи (by God), зиунагъуэрэ (oh my) |
NOUN |
Noun | унэ (house), щIалэ (boy) |
NUM |
Numeral | зы (one), тIу (two) |
PART |
Particle | мы (this), а (that) |
PRON |
Pronoun | сэ (I), уэ (you) |
PROPN |
Proper noun | Мурат (Murat), Налшык (Nalchik) |
PUNCT |
Punctuation | . (period), , (comma) |
SCONJ |
Subordinating conjunction | щхьэкIэ (because), щыгъуэ (when) |
SYM |
Symbol | % (percent), $ (dollar) |
VERB |
Verb | мэкIуэ (goes), матхэ (writes) |
X |
Other | - |