基于自动识别的委婉语历时性发展变化与社会共变研究(A Study on the Diachronic Development and Social Covariance of Euphemism Based on Automatic Recognition)

“本文主要以汉语委婉语作为研究对象,基于大量人工标注,借助机器学习有监督分类方法,实现了较高精度的委婉语自动识别,并基于此对1946年-2017年的《人民日报》中的委婉语历时变化发展情况进行量化统计分析。从大规模数据的角度探讨委婉语历时性发展变化、委婉语与社会之间的共变关系,验证了语言的格雷什姆规律与更新规律。”

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