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This paper describes the development of books and libraries in China, from the formation of the first dynasties until the fall of the Empire, at the beginning of the 20th century. Their status and roll were placed in the context of social, political and cultural changes, especially those which had the profound impact on their further development. The invention of paper and xylography as an initial stage in the development of printing techniques were of immense importance throughout the world at that time. Both inventions have contributed to the increase in printing and publishing production, not only within the territory of China but also in other parts of the world. In this paper, they were considered within Chinese society which was their source. Also, the paper considers different types of libraries. Special attention is given to their work in the period of stability which resulted in faster development of cultural institutions. The Imperial Library, as well as the other state libraries, was especially active during the rule of the Song dynasty. Other types of libraries developed mostly during the rule of the Tang, Ming, and Qing dynasties. In spite of the fact that Chinese libraries were not open to the public (they were more depository then rental institutions) they had strong impact, especially on groups closely related to the emperor. Exceptions were monastic libraries, since their rules obliged the monks to write and read books in the silence of the temples. The first part of the paper describes printing production which contributed to the increase in the types and number of publications in all libraries of China. [ABSTRACT FROM AUTHOR]

Modern information retrieval systems use keywords within documents as indexing terms for search of relevant documents. As Chinese is an ideographic character-based language, the words in the texts are not delimited by white spaces. Indexing of Chinese documents is impossible without a proper segmentation algorithm. Many Chinese segmentation algorithms have been proposed in the past. Traditional segmentation algorithms cannot operate without a large dictionary or a large corpus of training data. Nowadays, the Web has become the largest corpus that is ideal for Chinese segmentation. Although most search engines have problems in segmenting texts into proper words, they maintain huge databases of documents and frequencies of character sequences in the documents. Their databases are important potential resources for segmentation. In this paper, we propose a segmentation algorithm by mining Web data with the help of search engines. On the other hand, the Romanized pinyin of Chinese language indicates boundaries of words in the text. Our algorithm is the first to utilize the Romanized pinyin to segmentation. It is the first unified segmentation algorithm for the Chinese language from different geographical areas, and it is also domain independent because of the nature of the Web. Experiments have been conducted on the datasets of a recent Chinese segmentation competition. The results show that our algorithm outperforms the traditional algorithms in terms of precision and recall. Moreover, our algorithm can effectively deal with the problems of segmentation ambiguity, new word (unknown word) detection, and stop words. [ABSTRACT FROM AUTHOR]