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一种计算方法来识别跨语言的文化关键词

Zheng Wei Lim¹, Harry Stuart¹, Simon De Deyne²

¹School of Computing and Information Systems, University of Melbourne.

Cognitive science

|January 16, 2024

概括

本研究介绍了一种计算方法,通过比较跨语言的单词频率来识别具有文化意义的关键词. 该方法通过使用文本数据和词汇关联实验,成功地确定了独特的文化术语.

科学领域:

语言学的语言学.
计算社会科学计算社会科学
文化心理学文化心理学

背景情况:

文化细微差别通常嵌入语言中,特定的关键词反映了一个社会的独特特征.
以前对具有文化意义的单词的识别主要依赖于定性语言分析.
像俄罗斯的"душа" (灵魂),印度尼西亚的"hati" (心脏) 和荷兰的"gezellig"这样的关键词被认为是文化上的揭示.

研究的目的:

提出和验证一种定量方法,用于跨语言识别特定文化关键词.
证明词语使用的计算分析可以补充传统的语言方法.
探索在语言体和词汇关联数据中比较单词频率的实用性.

主要方法:

开发了一种计算方法来比较不同语言的单词频率.
应用该方法来分析大型语言群体.
使用词汇关联数据来证实体分析中的发现.

主要成果:

计算方法成功地识别了文化特定的单词,包括明显的例子 (例如,荷兰语的"阿姆斯特丹") 和不那么明显的例子 (例如,印尼语的"hati").
语言体和词汇关联数据为识别的文化突出词汇提供了融合的证据.
该研究表明了定量跨语言比较的有效性.

结论:

单词频率的计算分析是一种可行的方法,用于识别具有文化意义的关键词.
将语料库数据与行为实验 (词汇关联) 结合起来,可以加强对文化关键词的识别.
这种定量方法为跨文化词汇分析的传统定性语言方法提供了有价值的补充.

关键词:

这是跨语言的.一个词典词典.语义学是一个语义学.一个词的关联词的关联.

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