2025
COLING
COLING 2025
BBPOS: BERT-based Part-of-Speech Tagging for Uzbek
Abstract
AbstractThis paper advances NLP research for the low-resource Uzbek language by evaluating two previously untested monolingual Uzbek BERT models on the part-of-speech (POS) tagging task and introducing the first publicly available UPOS-tagged benchmark dataset for Uzbek. Our fine-tuned models achieve 91% average accuracy, outperforming the baseline multi-lingual BERT as well as the rule-based tagger. Notably, these models capture intermediate POS changes through affixes and demonstrate context sensitivity, unlike existing rule-based taggers.
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Interdisciplinary Bridge
— Deep Learning and Machine Learning and Natural Language Processing
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Topics
Deep Learning > Architectures > Transformers
Natural Language Processing > Understanding > Part-of-Speech Tagging
Machine Learning > Learning Types > Transfer Learning
Natural Language Processing > Applications > Named Entity Recognition
Natural Language Processing > Resources & Methods > Transfer Learning