Research on Chinese Animal Words Extraction Based on Children’s Literature Corpus

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.