Chinese Text Segmentation

Chinese text segmentation is the process of dividing continuous Chinese characters into meaningful words or phrases, since written Chinese does not use spaces to distinguish words. This is essential for natural language processing tasks like translation or search. Algorithms analyze context, character combinations, and language rules to identify where one word ends and the next begins. Effective segmentation improves the understanding of Chinese text by computers, enabling accurate analysis, comprehension, and information retrieval. It’s a fundamental step in making Chinese language data accessible and manageable for digital applications.