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Bert Base Thai Upos
BERT model pre-trained on Thai Wikipedia text for POS tagging and dependency parsing
Downloads 53.03k
Release Time : 3/2/2022
Model Overview
This model is a BERT model pre-trained on Thai Wikipedia text, specifically designed for POS tagging (UPOS) and dependency parsing tasks. It is derived from the bert-base-th-cased model and uses the Universal POS tagset (UPOS) to tag each word.
Model Features
Thai-specific model
BERT model optimized specifically for Thai text, pre-trained on Thai Wikipedia data
UPOS tagging
Uses the Universal POS tagset (UPOS) standard to ensure consistency and universality in tagging
Dependency parsing
Capable of not only POS tagging but also analyzing dependency relationships between words
Based on bert-base-th-cased
Derived from the proven Thai BERT base model, ensuring model quality
Model Capabilities
Thai text processing
POS tagging
Dependency parsing
Natural language understanding
Use Cases
Natural language processing
Thai text analysis
Perform POS tagging and syntactic analysis on Thai text
Accurately identify the POS of each word and sentence structure
Linguistic research
Used to study Thai grammatical structures and linguistic features
Provides standardized linguistic analysis data
Educational technology
Language learning tool
Helps Thai language learners understand sentence structure and word usage
Improves language learning efficiency
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