ansj_seg

Why we included this project

ansj_seg has been segmenting Chinese text in Java since 2012, and it still holds up well for JVM teams that want a tokenizer they can drop in and trust. It blends n-Gram, CRF, and HMM models into a few segmentation modes: an accurate default for general use, one that leans on your own user dictionary, and an NLP-specific analysis for tasks that need more. Beyond plain word boundaries it does Chinese name recognition and part-of-speech tagging, and it adds keyword extraction, automatic summarization, and custom dictionary support, so downstream code does not have to reimplement those pieces. The library ships as a Maven artifact with simple parse calls, which keeps integration light. If you need fast, accurate Chinese segmentation without building your own, this mature project is worth testing against your own data.