Lexico-syntactic constraints influence verbal working memory in sentence-like lists.

We test predictions from the language emergent perspective on verbal working memory that lexico-syntactic constraints should support both item and order memory. In natural language, long-term knowledge of lexico-syntactic patterns involving part of speech, verb biases, and noun animacy support language comprehension and production. In three experiments, participants were presented with randomly generated dative-like sentences or lists in which part of speech, verb biases, and animacy of a single word were manipulated. Participants were more likely to recall words in the correct position when presented with a verb over a noun in the verb position, a good dative verb over an intransitive verb in the verb position, and an animate noun over an inanimate noun in the subject noun position. These results demonstrate that interactions between words and their context in the form of lexico-syntactic constraints influence verbal working memory.

Noun Sequence Statistics Affect Serial Recall and Order Recognition Memory.

Most theories of verbal working memory recognize that language comprehension and production processes play a role in word memory for familiar sequences, but not for novel lists of nouns. Some language emergent theories propose that language processes can support verbal working memory even for novel sequences. Through corpus analyses, we identify sequences of two nouns that resemble patterns in natural language, even though the sequences are novel. We present 2 experiments demonstrating better recall in college students for these novel sequences over the same words in reverse order. In a third experiment, we demonstrate better recognition of the order of these sequences over a longer time scale. These results suggest verbal working memory and recognition of order over a delay are influenced by language knowledge processes, even for novel memoranda that approximate noun lists typically employed in memory experiments.

Exploring the Relationship Between Fiction Reading and Emotion Recognition.

Fiction reading experience affects emotion recognition abilities, yet the causal link remains underspecified. Current theory suggests fiction reading promotes the simulation of fictional minds, which supports emotion recognition skills. We examine the extent to which contextualized statistical experience with emotion category labels in language is associated with emotion recognition. Using corpus analyses, we demonstrate fiction texts reliably use emotion category labels in an emotive sense (e.g., cry of relief), whereas other genres often use alternative senses (e.g., hurricane relief fund). Furthermore, fiction texts were shown to be a particularly reliable source of information about complex emotions. The extent to which these patterns affect human emotion concepts was analyzed in two behavioral experiments. In experiment 1 (n = 134), experience with fiction text predicted recognition of emotions employed in an emotive sense in fiction texts. In experiment 2 (n = 387), fiction reading experience predicted emotion recognition abilities, overall. These results suggest that long-term language experience, and fiction reading, in particular, supports emotion concepts through exposure to these emotions in context.

Verbal Working Memory as Emergent from Language Comprehension and Production.

This article reviews current models of verbal working memory and considers the role of language comprehension and long-term memory in the ability to maintain and order verbal information for short periods of time. While all models of verbal working memory posit some interaction with long-term memory, few have considered the character of these long-term representations or how they might affect performance on verbal working memory tasks. Similarly, few models have considered how comprehension processes and production processes might affect performance in verbal working memory tasks. Modern theories of comprehension emphasize that people learn a vast web of correlated information about the language and the world and must activate that information from long-term memory to cope with the demands of language input. To date, there has been little consideration in theories of verbal working memory for how this rich input from comprehension would affect the nature of temporary memory. There has also been relatively little attention to the degree to which language production processes naturally manage serial order of verbal information. The authors argue for an emergent model of verbal working memory supported by a rich, distributed long-term memory for language. On this view, comprehension processes provide encoding in verbal working memory tasks, and production processes maintenance, serial ordering, and recall. Moreover, the computational capacity to maintain and order information varies with language experience. Implications for theories of working memory, comprehension, and production are considered.