baidu/DDParser

Health v2 · maintenance only

Adoption not part of the score

1001 stars · 157 forks observed · 2026-10-21

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-07, confidence 0.95

DDParser is Baidu's open-source Chinese dependency parsing tool built on PaddlePaddle and large-scale annotated data. It provides one-command installation and pretrained models that output dependency trees (heads and relation labels) for segmented or unsegmented Chinese text.

Use cases

• parse dependency syntax trees from Chinese sentences
• analyze grammatical structure of Chinese text in Python
• extract subject-verb-object relations from Chinese queries
• get POS tags and parse probabilities for Chinese sentences
• use syntactic structure for semantic role labeling or event extraction
• run Chinese dependency parsing on GPU

When to choose

• you need accurate Chinese-specific dependency parsing with pretrained models
• you want a simple pip-installable parser with a Python API
• you need to handle both pre-segmented and raw Chinese text

When to avoid

• you need dependency parsing for languages other than Chinese
• your stack does not include PaddlePaddle and you prefer PyTorch/TF ecosystems
• you need actively maintained software with recent updates

Facets

library · maturity maintenance

nlp parser machine-learning parsers machine-learning python dependency-parsing chinese-nlp paddlepaddle syntax-analysis pretrained-model natural-language-processing gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="baidu/DDParser")