Evidence map›Paper›PMID 41588154›Full record

ArticleBehavior research methods2026

CPCSLD: A lexical database of Chinese preschool children's spoken words.

Chen Feng, Song Wang, Su Li

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Article in Behavior research methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Chen FengState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing, 100101, Chaoyang District, China.ORCID http://orcid.org/0000-0003-4971-4322
Song WangState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing, 100101, Chaoyang District, China.
Su LiState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing, 100101, Chaoyang District, China. lis@psych.ac.cn.

Funding

National Natural Science Foundation of China 31571140The CAS Key Laboratory of Behavioral Science, Institute of Psychology Y5CX052003
6 · The paper itself

Abstract

To facilitate research into the language development of preschool children, this article presents the Chinese Preschool Children's Spoken Lexical Database (CPCSLD), which is a lexical database built from a corpus of spontaneous speech production by 648 Chinese children aged between 3 and 6 years. The corpus comprises 1,199,851 word tokens, which include 21,372 unique words, 1,147 unique tonal syllables, and 400 unique atonal syllables. CPCSLD provides multiple distributional characteristics of both word-level and syllable-level information, including word frequency, token frequency, word length, word syntactic categories, tonal syllable frequency, and atonal syllable frequency, for words in the entire corpus as well as in the three grade-level sub-corpora (K1, K2, and K3). Using CPCSLD, we describe the developmental changes in word syntactic categories and frequency across K1, K2, and K3. Validation analyses showed an advantage for CPCSLD over existing databases in predicting children's picture-naming performance, but not in the semantic decision task. Correlation analyses further revealed distinct developmental patterns in lexical properties: CPCSLD's syllable frequencies were highly correlated with those from other child-based databases, whereas its word frequencies showed low correlations. These findings highlight CPCSLD's sensitivity to early lexical development and its value for research on language production in 3-6-year-old children.

Indexed as

Child LanguageDatabases, FactualLanguage DevelopmentSpeechVocabularyChildChild, PreschoolChinaEast Asian PeopleFemaleHumansMaleSemanticsChineseLexical databasePreschoolSpeech production

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