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Database Profile

CLD

General information

URL: http://www.chineselexicaldatabase.com
Full name: Chinese Lexical Database
Description: the Chinese Lexical Database (CLD): a large-scale lexical database for simplified Chinese. The CLD provides a wealth of lexical information for 3913 one-character words, 34,233 two-character words, 7143 three-character words, and 3355 four-character words, and is publicly available through http://www.chineselexicaldatabase.com.
Year founded: 2018
Last update:
Version:
Accessibility:
Accessible
Country/Region: Germany

Classification & Tag

Data type:
Data object:
NA
Database category:
Major species:
Keywords:

Contact information

University/Institution: University of Tübingen
Address: Eberhard Karl's Universität Tübingen, Tübingen, Germany.
City:
Province/State:
Country/Region: Germany
Contact name (PI/Team): Sun CC
Contact email (PI/Helpdesk): ching-chu.sun@uni-tuebingen.de

Publications

29934697
Chinese lexical database (CLD) : A large-scale lexical database for simplified Mandarin Chinese. [PMID: 29934697]
Ching Chu Sun, Peter Hendrix, Jianqiang Ma, Rolf Harald Baayen

We present the Chinese Lexical Database (CLD): a large-scale lexical database for simplified Chinese. The CLD provides a wealth of lexical information for 3913 one-character words, 34,233 two-character words, 7143 three-character words, and 3355 four-character words, and is publicly available through http://www.chineselexicaldatabase.com . For each of the 48,644 words in the CLD, we provide a wide range of categorical predictors, as well as an extensive set of frequency measures, complexity measures, neighborhood density measures, orthography-phonology consistency measures, and information-theoretic measures. We evaluate the explanatory power of the lexical variables in the CLD in the context of experimental data through analyses of lexical decision latencies for one-character, two-character, three-character and four-character words, as well as word naming latencies for one-character and two-character words. The results of these analyses are discussed.

Behav Res Methods. 2018:50(6) | 51 Citations (from Europe PMC, 2026-03-28)

Ranking

All databases:
2040/6932 (70.586%)
Literature:
189/577 (67.418%)
Metadata:
200/723 (72.476%)
2040
Total Rank
45
Citations
5.625
z-index

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Record metadata

Created on: 2019-10-19
Curated by:
Amjad Ali [2019-11-07]
Ghulam Abbas [2019-10-19]