On a new 144,000-word annotated dataset for Wolayta and Gofa, BERT-base-uncased embeddings with an LSTM classifier reach 0.72 F1, the best of seven compared approaches.
”Evaluating the effectiveness of XAI techniques for encoder-based language models.” Knowledge- Based Systems 310 (2025): 113042
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Bilingual Word Level Language Identification for Omotic Languages
On a new 144,000-word annotated dataset for Wolayta and Gofa, BERT-base-uncased embeddings with an LSTM classifier reach 0.72 F1, the best of seven compared approaches.