Abstract
There is not a natural delimiter between words in Chinese texts. Moreover, Chinese is a semotactic language with complicated structures focusing on semantics. Its differences from Western languages bring more difficulties in Chinese word segmentation and more challenges in Chinese natural language understanding. How to compute the Chinese text similarity with high precision, recall and low cost is a very important but challenging task. Many researchers have studied it for long time. In this paper, we examine existing Chinese text similarity measures, including measures based on statistics and semantics. Our work provides insights into the advantages and disadvantages of each method, including tradeoffs between effectiveness and efficiency. New directions of the future work are discussed.
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Wang, X., Ju, S., Wu, S. (2008). A Survey of Chinese Text Similarity Computation. In: Li, H., Liu, T., Ma, WY., Sakai, T., Wong, KF., Zhou, G. (eds) Information Retrieval Technology. AIRS 2008. Lecture Notes in Computer Science, vol 4993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68636-1_69
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DOI: https://doi.org/10.1007/978-3-540-68636-1_69
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