Abstract
The conjunctions can connect words, sentences and even paragraphs. They have special connection functions and their usages are complex and diverse. At present, the studies on conjunctions are mostly human-oriented. These descriptions can not avoid such limitations as subjectivity and illegibility, and are not easy to be applied directly to natural language processing (NLP). This paper studies the automatic recognition of conjunction usages in the background of NLP. It designs a rule-based method and several statistical methods for conjunction usages recognition. Results are compared and analyzed and turns out that rule-based method and statistical methods have advantages and disadvantages.
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Zan, H., Zhou, L., Zhang, K. (2011). Studies on the Automatic Recognition of Modern Chinese Conjunction Usages. In: Huang, DS., Gan, Y., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing. ICIC 2011. Lecture Notes in Computer Science, vol 6838. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24728-6_64
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DOI: https://doi.org/10.1007/978-3-642-24728-6_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24727-9
Online ISBN: 978-3-642-24728-6
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