Abstract
This paper introduces a simple method for the recognition and collection of Old Chinese sentence patterns. Based on the manual tagging of the part of speech of high frequency words, other words and sentence patterns can be recognized automatically under this method. The experimental results show that with reasonable pre-selected terms, the recognition accuracy rate of content words, especially nouns and verbs, reaches as high as 86.29% on average; several sentence patterns can be recognized with accuracy rate higher than 95%. In this way, the method can not only be used to simplify the manual recognition and collection of Old Chinese, but also be used as an auxiliary approach in natural language processing for Old Chinese.
Gratitude to the revised suggestions offered by the CLSW 20104 anonymous reviewers
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© 2014 Springer International Publishing Switzerland
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Liu, Y., Long, D. (2014). A Rule-Based Method for Identifying Patterns in Old Chinese Sentences. In: Su, X., He, T. (eds) Chinese Lexical Semantics. CLSW 2014. Lecture Notes in Computer Science(), vol 8922. Springer, Cham. https://doi.org/10.1007/978-3-319-14331-6_22
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DOI: https://doi.org/10.1007/978-3-319-14331-6_22
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