vi_udv25_vietnamesevtb_trf
| Property | Value |
|---|---|
| Author | Explosion |
| License | CC BY-SA 4.0 |
| spaCy Compatibility | >=3.2.1,<3.3.0 |
| Source | Universal Dependencies v2.5 |
What is vi_udv25_vietnamesevtb_trf?
vi_udv25_vietnamesevtb_trf is a sophisticated transformer-based NLP model specifically designed for Vietnamese language processing. Built on the Universal Dependencies v2.5 framework, it provides comprehensive linguistic analysis capabilities with impressive accuracy metrics across various tasks.
Implementation Details
The model implements a sophisticated pipeline architecture consisting of six core components: experimental_char_ner_tokenizer, transformer, tagger, morphologizer, parser, and experimental_edit_tree_lemmatizer. It demonstrates remarkable performance with token accuracy of 98.42% and POS tagging accuracy of 90.19%.
- Advanced tokenization system with 87.90% F-score
- Comprehensive POS tagging system with 34 distinct tags
- Morphological analysis with 15 different features
- Dependency parsing with 27 labeled relationships
Core Capabilities
- High-accuracy sentence segmentation (94.33% F-score)
- Robust morphological analysis (96.95% accuracy)
- Dependency parsing (68.08% UAS, 60.64% LAS)
- Lemmatization with 89.35% accuracy
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its comprehensive Vietnamese language processing capabilities, combining transformer architecture with specialized components for Vietnamese text analysis. Its high accuracy in tokenization and morphological analysis makes it particularly valuable for Vietnamese NLP tasks.
Q: What are the recommended use cases?
The model is ideal for Vietnamese text processing tasks including: syntactic analysis, part-of-speech tagging, morphological analysis, and dependency parsing. It's particularly suitable for applications requiring detailed linguistic analysis of Vietnamese text.
