《二十四史》古代汉语语义依存图库构建(Construction of Semantic Dependency Graph Bank of Ancient Chinese in twenty four histories)

CCL 2022  ·  Tian Huang, Yanqiu Shao, Wei Li ·

“语义依存图是NLP处理语义的深层分析方法,能够对句子中词与词之间的语义进行分析。该文针对古代汉语特点,在制定古代汉语语义依存图标注规范的基础上,以《二十四史》为语料来源,完成标注了规模为3000句的古代汉语语义依存图库,标注一致性的kappa值为78.83%。通过与现代汉语语义依存图库的对比,对依存图库基本情况进行统计,分析古代汉语的语义特色和规律。统计显示,古代汉语语义分布宏观上符合齐普夫定律,在语义事件描述上具有强烈的历史性叙事和正式文体特征,如以人物纪传为中心,时间、地点等周边角色描述细致,叙事语言冷静客观,缺少描述情态、语气、程度、时间状态等的修饰词语等。 "

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