Abstract
Categorized and graded vocabularies are an important aspect of children’s graded reading. Taking animal words from the Thesaurus of Modern Chinese as the seed words, this paper studies a method of extracting animal words from the children’s literature corpus and attempts to construct a word sequencing model. The method used is to match the results of automatic word segmentation with the seed words. There are 786 animal nouns extracted from the corpus, with an increasing rate of 39.36% compared to the 564 seed words, and there are 780 derivative animal words. The animal word sequencing model is based on word-work-popularity and word-writer-popularity, which resolves the problem of having an unbalanced number of characters and writer’s works.
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Acknowledgments
The research is supported by Science Foundation of Beijing Language and Culture University (supported by “the Fundamental Research Funds for the Central Universities”) (19YJ040005); Major Program of National Social Science Foundation of China (18ZDA295); MOOC Project of Beijing Language and Culture University (FZ201911); Top-ranking Discipline Team Support Program of Beijing Language and Culture University (JC201902); Beijing College Student innovation and entrepreneurship training program (No: 18XKGJ05, 201910032045, 201910032046).
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Zhao, H., Wang, Z., Wang, S., Zhang, L. (2020). Research on Chinese Animal Words Extraction Based on Children’s Literature Corpus. In: Hong, JF., Zhang, Y., Liu, P. (eds) Chinese Lexical Semantics. CLSW 2019. Lecture Notes in Computer Science(), vol 11831. Springer, Cham. https://doi.org/10.1007/978-3-030-38189-9_63
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DOI: https://doi.org/10.1007/978-3-030-38189-9_63
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