A Pragmatic Approach for Classical Chinese Word Segmentation

Towards Accurate Word Segmentation for Chinese Patents

A patent is a property right for an invention granted by the government to the inventor. An invention is a solution to a specific technological problem. So patents often have a high concentration of scientific and techni…

Optical Character Recognition, Word Segmentation, Sentence Segmentation, and Information Extraction for Historical and Literature Texts in Classical Chinese

Bi-directional LSTM Recurrent Neural Network for Chinese Word Segmentation

Recurrent neural network(RNN) has been broadly applied to natural language processing(NLP) problems. This kind of neural network is designed for modeling sequential data and has been testified to be quite efficient in se…

Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty

Tomb biographies of the Tang dynasty provide invaluable information about Chinese history. The original biographies are classical Chinese texts which contain neither word boundaries nor sentence boundaries. Relying on th…

When Classical Chinese Meets Machine Learning: Explaining the Relative Performances of Word and Sentence Segmentation Tasks

We consider three major text sources about the Tang Dynasty of China in our experiments that aim to segment text written in classical Chinese. These corpora include a collection of Tang Tomb Biographies, the New Tang Boo…