Abstract
In this paper, we put forward two algorithms for Chinese oracle-bone grammar rules learning: automatically learning rule sets and the error-emended learning from the corpus. Through analysing the syntactic knowledge of oracle-bone inscription, an error-emended learning method is used to construct rule-base of oracle-bone phrase structure, which combines linguist’s introspection and summarize with corpora to capture rules and describe them with formalized symbols. By using part-of-speech and contextual information together, our experimental results show the learning and expression are effective for oracle-bone grammar rule-base.
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© 2005 Springer-Verlag Berlin Heidelberg
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Jiang, M., Cai, H., Liu, D., Wang, J. (2005). An Oracle Grammar-Rule Learning Based on Syntactic Knowledge. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32392-9_22
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DOI: https://doi.org/10.1007/3-540-32392-9_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25056-2
Online ISBN: 978-3-540-32392-1
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