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| The Function of Punctuation in the Automatic Identification of Chinese Academic Papers Online |
| Zou Yongli1, Wang Hao2 |
1. School of Information Management, Sun Yat-sen University, Guangzhou 510006;
2. Huafa Group, Zhuhai 519020 |
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Abstract With the ever-growing numbers of academic papers published online, it is important to explore more efficient ways to identify those papers with general search engines. Aiming at providing ideas for automatic identification of online Chinese academic papers, this essay presents a comparative study of Chinese academic papers and news reports on their use of punctuation. Two corpora were built and analyzed: one comprising 6,906 academic papers and another comprising 16,316 news reports. Comparison of total punctuation numbers, relative usage rate, and average usage numbers between the two types of documents reveal that both similarities and differences exist in the usage of punctuation. Similarities in macro, relative level, and two stable sequences of punctuation usage were discovered, while the differences, which lie in micro and absolute level and independent sample non-parametric tests, show that Chinese academic papers and news reports are significantly different in their use of all 14 kinds of punctuation analyzed in this study. The findings were tested in the NSIRS, a system formerly developed by the authors, to which a punctuation analysis module was added to evaluate the identifying effect of punctuation. Retrieval experiments show that the punctuation characteristics of academic papers do have identifying effects and can be used to improve the retrieval precision of academic articles online.
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Received: 27 June 2017
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