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Characteristics Of Character Usage In Chinese Web Searching

机译：中文网页搜索中字符用法的特征

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摘要

The use of non-English Web search engines has been prevalent. Given the popularity of Chinese Web searching and the unique characteristics of Chinese language, it is imperative to conduct studies with focuses on the analysis of Chinese Web search queries. In this paper, we report our research on the character usage of Chinese search logs from a Web search engine in Hong Kong. By examining the distribution of search query terms, we found that users tended to use more diversified terms and that the usage of characters in search queries was quite different from the character usage of general online information in Chinese. After studying the Zipf distribution of n-grams with different values of n, we found that the curve of unigram is the most curved one of all while the bigram curve follows the Zipf distribution best, and that the curves of n-grams with larger n (n = 3-6) had similar structures with β-values in the range of 0.66-0.86. The distribution of combined n-grams was also studied. All the analyses are performed on the data both before and after the removal of function terms and incomplete terms and similar findings are revealed. We believe the findings from this study have provided some insights into further research in non-English Web searching and will assist in the design of more effective Chinese Web search engines.
机译：非英语Web搜索引擎的使用已经很普遍。鉴于中文网页搜索的流行和中文的独特性，必须进行针对中文网页搜索查询分析的研究。在本文中，我们报告了我们对来自香港Web搜索引擎的中文搜索日志的字符用法的研究。通过检查搜索查询词的分布，我们发现用户倾向于使用更多样化的术语，并且搜索查询中的字符用法与中文一般在线信息的字符用法有很大不同。通过研究具有不同n值的n-gram的Zipf分布，我们发现unigram曲线是最弯曲的曲线之一，而bigram曲线最符合Zipf分布，并且n较大的n-gram的曲线（n = 3-6）具有类似的结构，其β值在0.66-0.86范围内。还研究了组合n-gram的分布。在删除功能项和不完整项以及类似发现之前和之后，都对数据进行了所有分析。我们相信这项研究的结果为非英语Web搜索的进一步研究提供了一些见识，并将有助于设计更有效的中文Web搜索引擎。

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