Research on content-based Chinese word retrieval
Lin Chen, Lei Li · 2003
Chinese words are a combination of speech sound, outline and meaning. Our research on content-based Chinese word retrieval can help users to retrieve their desired results by using words that are similar to normal queries in speech sound, outline or meaning. It is based on the vector space model. We suggest methods to extract features and use a neural network to create the word indexing. The experimental results indicate the feature extraction methods are not only effective but also efficient.