didi/ChineseNLP
A curated collection of datasets and benchmark results for Chinese NLP tasks covering 20+ task categories from word segmentation to machine translation.

This repository aggregates shared tasks, datasets, and state-of-the-art results for Chinese Natural Language Processing. It covers a wide range of NLP tasks including co-reference resolution, constituency parsing, dialogue state management, machine translation, question answering, sentiment analysis, and word segmentation among others. The project also tracks WMT shared tasks such as triangular machine translation, serving as a centralized reference for NLP benchmarking in Chinese.