Evidence map›Paper›PMID 35776384›Full record

ArticleBehavior research methods2023

CCLOWW: A grade-level Chinese children's lexicon of written words.

Luan Li, Yang Yang, Ming Song, Siyi Fang, Manyan Zhang, Qingrong Chen, Qing Cai

Open access · bronzeAbstract read
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In one paragraph

Article in Behavior research methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
6.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Luan LiKey Laboratory of Brain Functional Genomics (MOE & STCSM), Institute of Brain and Education Innovation, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.ORCID http://orcid.org/0000-0002-2163-7065
Yang YangKey Laboratory of Brain Functional Genomics (MOE & STCSM), Institute of Brain and Education Innovation, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.
Ming SongKey Laboratory of Brain Functional Genomics (MOE & STCSM), Institute of Brain and Education Innovation, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.
Siyi FangKey Laboratory of Brain Functional Genomics (MOE & STCSM), Institute of Brain and Education Innovation, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.
Manyan ZhangKey Laboratory of Brain Functional Genomics (MOE & STCSM), Institute of Brain and Education Innovation, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.
Qingrong ChenSchool of Psychology, Nanjing Normal University, Nanjing, China.
Qing CaiKey Laboratory of Brain Functional Genomics (MOE & STCSM), Institute of Brain and Education Innovation, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China. qcai@psy.ecnu.edu.cn.
East China Normal University · CNNanjing Normal University · CNShanghai Center for Brain Science and Brain-Inspired Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, we present the Chinese Children's Lexicon of Written Words (CCLOWW), the first grade-level database that provides frequency statistics of simplified Chinese characters and words for children. The database computes from a corpus of 34,671,424 character tokens and 22,427,010 word tokens (including single- and multicharacter words), extracted from 2131 books. It contains 6746 different character types and 153,079 different word types. CCLOWW provides several frequency indices of simplified Chinese for three grade levels (grade 2 and below, grades 3-4, grades 5-6) to profile children's experience with written Chinese in and outside of school. We describe in this article the distributions of frequency and contextual diversity of the characters and words, as well as word length and syntactic categories of the words in the corpus and the subcorpora. We also report results of correlation analyses with other written corpora and of several naming and lexicon decision experiments. The findings suggest that CCLOWW frequency measures correlate well with other corpora. Importantly, they could reliably predict children's and adults' naming and lexical decision performances. They could also explain variance in adults' visual word recognition, in addition to frequency measures computed in an adult corpus, indicating that early print exposure might influence readers' lexical processing later on beyond an age of acquisition effect. CCLOWW will help researchers in language processing and development as well as educators with selecting language materials appropriate for children's developmental stages. The database is freely available online at https://www.learn2read.cn/database/ .

Indexed as

LanguageWritingAdultAsian PeopleChildDatabases, FactualHumansSchoolsChildrenChineseContextual diversityFrequencyLexical database

Identifiers

PMID35776384
OpenAlexW4283759930

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.