Chinese Word Segmentation

Chinese Word Segmentation (CWS) focuses on accurately dividing Chinese text into individual words, a crucial preprocessing step for many natural language processing tasks. Current research emphasizes improving accuracy and efficiency through advanced deep learning models, such as incorporating external knowledge via curriculum learning or graph convolutional networks, and exploring novel training strategies like distant supervision and knowledge distillation. These advancements are vital for enhancing the performance of downstream applications, including machine translation, information retrieval, and legal document processing, particularly in low-resource or cross-era scenarios.