Abstract
Due to specific semantic constraints between quantifiers and nouns and the frequent phenomena of quantifier-noun collocation error in real text, this paper proposes a new model of extracting quantifier-noun collocation and a new representation method of knowledge base. In this paper, by rules and statistical methods and the use of “The Grammatical Knowledge-base of Contemporary Chinese” and the “People’s Daily” corpus resources, word-level quantifier-noun collocation knowledge base was established. On this basis, by analyzing the characteristics of the nouns and combining semantic class attributes in the “The Semantic Knowledge-base of Contemporary Chinese”, semantic-level quantifier-noun collocation knowledge base was established. The experiment results show that the accuracy of checking quantifier-noun collocation errors reaches 77.38% by using quantifier-noun collocation knowledge base built by this method, and the scale of this knowledge base is expanded effectively.
This paper is funded by the Natural Science Foundation of China (NSFC, Grant No.61070119), the Project of Construction of Innovation Teams and Teacher Career Development for Universities and Colleges Under Beijing Municipality(Grant No.IDHT20130519) and the Beijing Municipal Education Commission Special Fund (Grant No.PXM2012-014224-000020).
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Jiang, L., Zhang, Y., Guan, J., Du, Z. (2013). Construction and Implementation of the Quantifier-Noun Collocation Knowledge Base for Proofreading Based on Multiple Knowledge Sources. In: Liu, P., Su, Q. (eds) Chinese Lexical Semantics. CLSW 2013. Lecture Notes in Computer Science(), vol 8229. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45185-0_62
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DOI: https://doi.org/10.1007/978-3-642-45185-0_62
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