"The frequency imbalance of language is also reflected in gender associations learned by word embeddings."
Caliskan and colleagues examined gender associations across word frequency, syntax, and semantic categories in large English-language embeddings. In the GloVe vocabulary they studied, 77% of the 1,000 most frequent words were more associated with men than women, providing direct empirical support for a relationship between linguistic frequency and gender-associated representations.
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