Open AccessErratum to “How accurate are gender detection tools in predicting the gender for Chinese names? A study with 20,000 given names in Pinyin format,” 2021;110(2):205–11.
Author(s) -
Charlene Dundek
Publication year - 2022
Publication title -
journal of the medical library association jmla
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.102
H-Index - 58
eISSN - 1558-9439
pISSN - 1536-5050
DOI - 10.5195/jmla.2022.1544
Subject(s) - pinyin , psychology , natural language processing , computer science , information retrieval , linguistics , artificial intelligence , philosophy , chinese characters
The PDF version of this article reflected an older version of the article with an incorrect URL for reference 17, while the HTML version was correct. The PDF has been updated to the correct version.
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