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Xunzi Qwen2 7B Upos

Developed by KoichiYasuoka
A Qwen2 model pre-trained on classical Chinese texts for POS tagging tasks, supporting Universal Dependencies annotation.
Downloads 16
Release Time : 7/24/2024

Model Overview

This model is specifically designed for POS tagging of classical Chinese texts, capable of annotating each word with Universal POS tags (UPOS) and feature sets (FEATS).

Model Features

Classical Chinese Support
Optimized specifically for classical Chinese texts, accurately identifying parts of speech in ancient Chinese.
Universal Annotation Set
Utilizes Universal Dependencies POS tags (UPOS) and feature sets (FEATS) to ensure standardized annotation.
Based on Qwen2
Developed based on the powerful Qwen2-7B model, inheriting its excellent language understanding capabilities.

Model Capabilities

Classical Chinese POS Tagging
Dependency Parsing
Ancient Chinese Text Processing

Use Cases

Academic Research
Classical Literature Analysis
Used to analyze POS distribution and syntactic structures in ancient Chinese literature.
Helps researchers systematically understand grammatical features of classical Chinese
Educational Applications
Classical Chinese Teaching Aid
Provides automated POS tagging support for classical Chinese learners.
Improves learning efficiency and deepens understanding of classical Chinese grammar
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