baidu/lac

Health v2 · maintenance only

Adoption not part of the score

4001 stars · 592 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

LAC (Lexical Analysis of Chinese) is Baidu's deep-learning-based Chinese lexical analysis toolkit that jointly performs word segmentation, part-of-speech tagging, named entity recognition, and word importance ranking. It offers Python, Java, C++, and Android interfaces with a lightweight 2MB mobile model and high-throughput CPU inference.

Use cases

• segment chinese text into words
• tag part of speech for chinese sentences
• recognize named entities like person, location, and organization names in chinese text
• rank word importance in chinese queries
• run chinese nlp preprocessing on mobile devices
• integrate chinese tokenization into a java or c++ application

When to choose

• you need accurate chinese word segmentation, POS tagging, or NER with a proven deep-learning model
• you need fast cpu inference or a tiny model for mobile deployment
• you want a customizable user dictionary to intervene in model predictions

When to avoid

• you need lexical analysis for languages other than chinese
• you need actively maintained software with recent releases
• you need full nlp pipelines beyond lexical analysis such as parsing or generation

Facets

library · maturity maintenance

nlp parser python cpp jvm cross-platform chinese-word-segmentation part-of-speech-tagger named-entity-recognition lexical-analysis paddlepaddle word-importance natural-language-processing chinese-nlp android

Member repositories

For agents

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