Contextual diversity (CD; Adelman, Brown, & Quesada, 2006) modifies word frequency by ignoring word repetition in context. It has been repeatedly found that a CD count provides a better fit to lexical organization data than does word frequency (e.g., Adelman & Brown, 2008; Brysbaert & New, 2009). The importance of CD has been interpreted with the principle of likely need, adapted from the rational analysis of memory (Anderson & Schooler, 1991), which states that words that have been used in many past contexts are more likely to be needed in a future context. Central to the cognitive mechanisms of computing likely need is a definition of linguistic context itself. Typically, linguistic context is defined by relatively small units of language, such as a document within a corpus. However, recent research has demonstrated that larger definitions of context, some spanning tens or hundreds of thousands of words, provide a better accounting of lexical organization data (Johns, Dye, & Jones, 2020). This article attempts to redefine the notion of linguistic context by using socially based contextual measures, derived from the online communication patterns of hundreds of thousands of individuals from the discussion forum Reddit, consisting of over 55 billion words. Multiple count-based and semantic diversity models of contextual diversity were derived from this data. The results demonstrate that the communication patterns of individuals across discourses provides the best accounting of lexical organization data, indicating that classic notions of using local linguistic context to update a word's strength in the lexicon need to be reevaluated. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

中文翻译：

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解开语境多样性：作为词汇组织者的交际需要。

上下文多样性 (CD; Adelman, Brown, & Quesada, 2006) 通过忽略上下文中的单词重复来修改词频。多次发现 CD 计数比词频更适合词汇组织数据（例如，Adelman & Brown，2008；Brysbaert & New，2009）。CD 的重要性已被解释为可能需要的原则，改编自记忆的理性分析 (Anderson & Schooler, 1991)，该原则指出在许多过去上下文中使用过的词在未来更有可能被需要语境。计算可能需要的认知机制的核心是语言环境本身的定义。通常，语言上下文由相对较小的语言单位定义，例如语料库中的文档。然而，最近的研究表明，上下文的更大定义（有些跨越数万个或数十万个单词）可以更好地解释词汇组织数据（Johns、Dye 和 Jones，2020 年）。本文试图通过使用基于社会的语境测量重新定义语言语境的概念，这些测量来自于讨论论坛 Reddit 的数十万个人的在线交流模式，包含超过 550 亿个单词。上下文多样性的多个基于计数和语义多样性的模型是从这些数据中得出的。结果表明，个体跨话语的交流模式提供了词汇组织数据的最佳解释，表明使用本地语言上下文来更新单词的经典概念' 需要重新评估其在词典中的实力。（PsycInfo 数据库记录 (c) 2021 APA，保留所有权利）。