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Cognitive Modeling of Individual Variation in Reference Production and Comprehension

机译:参考产生和理解中个体变异的认知建模

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A challenge for most theoretical and computational accounts of linguistic reference is the observation that language users vary considerably in their referential choices. Part of the variation observed among and within language users and across tasks may be explained from variation in the cognitive resources available to speakers and listeners. This paper presents a computational model of reference production and comprehension developed within the cognitive architecture ACT-R. Through simulations with this ACT-R model, it is investigated how cognitive constraints interact with linguistic constraints and features of the linguistic discourse in speakers’ production and listeners’ comprehension of referring expressions in specific tasks, and how this interaction may give rise to variation in referential choice. The ACT-R model of reference explains and predicts variation among language users in their referential choices as a result of individual and task-related differences in processing speed and working memory capacity. Because of limitations in their cognitive capacities, speakers sometimes underspecify or overspecify their referring expressions, and listeners sometimes choose incorrect referents or are overly liberal in their interpretation of referring expressions.
机译:对于语言参考的大多数理论和计算说明而言,一个挑战是观察到语言用户的参考选择差异很大。可以从说话者和听者可用的认知资源中的变化来解释在语言用户之间和内部以及跨任务观察到的部分变化。本文介绍了在认知体系ACT-R中开发的参考产生和理解的计算模型。通过使用该ACT-R模型进行的模拟,研究了说话者产生中听觉约束与语言约束以及语言话语特征如何相互作用以及听众对特定任务中的指称表达的理解,以及这种相互作用如何引起变异。参照选择。 ACT-R参考模型解释和预测了语言用户在参考选择中的差异,这是由于处理速度和工作记忆容量上与个人和任务相关的差异所致。由于其认知能力的限制,说话者有时会低估或过分夸大其指​​称表达,而听众有时会选择不正确的指称,或者对指称表达的解释过于宽松。

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