Using 100-tree random forests on vectorized text features, Navajo can be separated from Google LangID's false suggestions with 97% accuracy, but the model's behavior on Apache languages shows it cannot distinguish within the Athabaskan family.
o ltekin. 2024. Nlp for arb \
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Is It Navajo? Accurate Language Detection in Endangered Athabaskan Languages
Using 100-tree random forests on vectorized text features, Navajo can be separated from Google LangID's false suggestions with 97% accuracy, but the model's behavior on Apache languages shows it cannot distinguish within the Athabaskan family.