This article presents the results of an analysis of a large set of dream reports (N = 5,208) using the Linguistic Inventory and Word Count (LIWC) system of Pennebaker, Boyd, Jordan, and Blackburn (2015). The findings indicate that, in comparison with other kinds of texts studied by LIWC, dream reports are distinctive in having high frequencies of the following language categories: focus on the past, first-person singular words, personal pronouns, authenticity, dictionary words, motion, space, and home. The dream reports have relatively low frequencies of these LIWC categories: informal language, focus on the present, assent, positive emotions, clout, second-person references, affective processes, and quotation marks. In addition, the LIWC analysis was able to identify and distinguish between the key content features of recent dreams, nightmares, and lucid dreams. These results confirm earlier findings of McNamara (2008) and Hawkins and Boyd (2017) and support the further use of LIWC in dream research, in coordination with other empirical methods of study.

中文翻译：

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使用 LIWC 程序来研究梦想。

本文介绍了使用 Pennebaker、Boyd、Jordan 和 Blackburn (2015) 的语言清单和字数 (LIWC) 系统对大量梦境报告 (N = 5,208) 进行分析的结果。研究结果表明，与LIWC研究的其他类型文本相比，梦境报告在以下语言类别中的频率较高：关注过去、第一人称单数词、人称代词、真实性、字典词、动作、空间和家。梦境报告在这些 LIWC 类别中的频率相对较低：非正式语言、关注现在、同意、积极情绪、影响力、第二人称参考、情感过程和引号。此外，LIWC 分析能够识别和区分近期梦境、噩梦、和清醒的梦。这些结果证实了 McNamara（2008 年）和 Hawkins 和 Boyd（2017 年）的早期发现，并支持进一步将 LIWC 与其他实证研究方法一起用于梦研究。