MOST intelligent people are accurate and SOME fast people are intelligent.: Intelligence,working memory,and semantic processing of quantifiers from a computational perspective

The paper explores the relationship between intelligence and the semantic processing of natural language quantifiers. The first study revealed that intelligence is positively associated with the subjects' performance when solving a picture verification task with one of the four types of sentences: Aristotelian (e.g. ‘All cars are red’), parity (e.g. ‘An even number of cars are red’), numerical (e.g. ‘More than five cars are red’), and proportional (‘More than half of the cars are red’). The strongest relationship was observed between the cognitive ability and the accuracy of proportional sentences, in accordance with the computational theory which predicts the highest engagement of working memory (WM) within the group of proportional quantifiers. Moreover, individuals with higher intelligence reacted faster, but this was observed only in case of quantifiers with low complexity. Exploring further, in the second study we found that WM and intelligence were both significant predictors of subjects' score on proportional sentences. In the third study, we examined the relationships between quantifiers, intelligence, short-term memory (STM), and executive control function. STM was correlated with all types of quantifiers that need counting and keeping track of elements (parity, numerical, and proportional). Only proportional quantifiers were associated with cognitive control. The obtained results are discussed within the computational paradigm of language processing.     

From exemplar to grammar: a probabilistic analogy-based model of language learning

While rules and exemplars are usually viewed as opposites, this paper argues that they form end points of the same distribution. By representing both rules and exemplars as (partial) trees, we can take into account the fluid middle ground between the two extremes. This insight is the starting point for a new theory of language learning that is based on the following idea: If a language learner does not know which phrase-structure trees should be assigned to initial sentences, s/he allows (implicitly) for all possible trees and lets linguistic experience decide which is the "best" tree for each sentence. The best tree is obtained by maximizing "structural analogy" between a sentence and previous sentences, which is formalized by the most probable shortest combination of subtrees from all trees of previous sentences. Corpus-based experiments with this model on the Penn Treebank and the Childes database indicate that it can learn both exemplar-based and rule-based aspects of language, ranging from phrasal verbs to auxiliary fronting. By having learned the syntactic structures of sentences, we have also learned the grammar implicit in these structures, which can in turn be used to produce new sentences. We show that our model mimicks children's language development from item-based constructions to abstract constructions, and that the model can simulate some of the errors made by children in producing complex questions.     

Balance between volunteer work and family roles: Testing a theoretical model of work‐family conflict in the volunteer emergency services

Trends indicate overall declines in numbers of volunteer emergency service workers and suggest negative organisational factors impacting adversely on volunteers and organisations. Conflict between emergency service work and family is implicated in falling volunteer numbers, and there is thus a need for research on difficulties experienced in balancing volunteer work and family. The current study tested an adaptation of the work‐family conflict (WFC) model originally proposed by Frone, Russell, and Cooper, in a sample of 102 couples in which one partner was an Australian emergency service volunteer. Results supported a model in which volunteer work‐related antecedents, including time invested in on‐call emergency activities and post‐traumatic stress symptoms, had indirect links with outcomes, including volunteer burnout and their partners' support for the volunteer work role, through the effects of WFC. These results add to research using theoretical models of paid work processes to better understand the problems faced by volunteer workers, and identify specific antecedents and outcomes of WFC in the volunteer emergency services. Implications for future research and organisations reliant on volunteer workers are discussed.