HanLP

HanLP is a natural language processing (NLP) framework that provides comprehensive Chinese language processing capabilities including tokenization, part-of-speech tagging, named entity recognition, dependency parsing, constituency parsing, semantic dependency parsing, semantic role labeling, coreference resolution, style transfer, semantic similarity, new word discovery, keyword and phrase extraction, text summarization, text classification and clustering, pinyin and simplified/traditional Chinese conversion. Built on the HanLP framework, the Euler model introduces advanced techniques such as a new tokenization algorithm, group-query attention architecture, flash-attention operators, and non-uniform task distribution. Euler supports local private deployment, zero-threshold out-of-the-box usage, local inference and fine-tuning, enhanced security and efficiency, generation of private large models, user-defined derivative personalities, and training on proprietary data to create a personal AI expert.