Chinese Word Segmentation

Chinese word segmentation is the process of dividing a continuous string of Chinese characters into meaningful words or phrases. Unlike languages like English, where spaces separate words, Chinese text lacks clear delimiters. This task is essential for natural language processing applications, such as search engines and text analysis, helping computers understand and process Chinese language content accurately. Effective segmentation improves tasks like translation, sentiment analysis, and information retrieval, as it enables better recognition of word boundaries and meanings within the text. Various algorithms and machine learning techniques are used to tackle this complex challenge.