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
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 , information retrieval , computer science , natural language processing , library science , artificial intelligence , chinese characters
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