Detailed behavioral analysis as a window into cross-situational word learning

Recent research has demonstrated that word learners can determine word-referent mappings by tracking co-occurrences across multiple ambiguous naming events. The current study addresses the mechanisms underlying this capacity to learn words cross-situationally. This replication and extension of Yu and Smith (2007) investigates the factors influencing both successful cross-situational word learning and mis-mappings. Item analysis and error patterns revealed that the co-occurrence structure of the learning environment as well as the context of the testing environment jointly affected learning across observations. Learners also adopted an exclusion strategy, which contributed conjointly with statistical tracking to performance. Implications for our understanding of the processes underlying cross-situational word learning are discussed.     

Cross‐Situational Learning: An Experimental Study of Word‐Learning Mechanisms

Cross‐situational learning is a mechanism for learning the meaning of words across multiple exposures, despite exposure‐by‐exposure uncertainty as to the word's true meaning. We present experimental evidence showing that humans learn words effectively using cross‐situational learning, even at high levels of referential uncertainty. Both overall success rates and the time taken to learn words are affected by the degree of referential uncertainty, with greater referential uncertainty leading to less reliable, slower learning. Words are also learned less successfully and more slowly if they are presented interleaved with occurrences of other words, although this effect is relatively weak. We present additional analyses of participants’ trial‐by‐trial behavior showing that participants make use of various cross‐situational learning strategies, depending on the difficulty of the word‐learning task. When referential uncertainty is low, participants generally apply a rigorous eliminative approach to cross‐situational learning. When referential uncertainty is high, or exposures to different words are interleaved, participants apply a frequentist approximation to this eliminative approach. We further suggest that these two ways of exploiting cross‐situational information reside on a continuum of learning strategies, underpinned by a single simple associative learning mechanism.     

Japanese Sound‐Symbolism Facilitates Word Learning in English‐Speaking Children

Sound‐symbolism is the nonarbitrary link between the sound and meaning of a word. Japanese‐speaking children performed better in a verb generalization task when they were taught novel sound‐symbolic verbs, created based on existing Japanese sound‐symbolic words, than novel nonsound‐symbolic verbs ( Imai, Kita, Nagumo, & Okada, 2008 ). A question remained as to whether the Japanese children had picked up regularities in the Japanese sound‐symbolic lexicon or were sensitive to universal sound‐symbolism. The present study aimed to provide support for the latter. In a verb generalization task, English‐speaking 3‐year‐olds were taught novel sound‐symbolic verbs, created based on Japanese sound‐symbolism, or novel nonsound‐symbolic verbs. English‐speaking children performed better with the sound‐symbolic verbs, just like Japanese‐speaking children. We concluded that children are sensitive to universal sound‐symbolism and can utilize it in word learning and generalization, regardless of their native language.     

A probabilistic computational model of cross-situational word learning

Words are the essence of communication: They are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisition: Children must first learn words before they can combine them into complex utterances. Many theories have been developed to explain the impressive efficiency of young children in acquiring the vocabulary of their language, as well as the developmental patterns observed in the course of lexical acquisition. A major source of disagreement among the different theories is whether children are equipped with special mechanisms and biases for word learning, or their general cognitive abilities are adequate for the task. We present a novel computational model of early word learning to shed light on the mechanisms that might be at work in this process. The model learns word meanings as probabilistic associations between words and semantic elements, using an incremental and probabilistic learning mechanism, and drawing only on general cognitive abilities. The results presented here demonstrate that much about word meanings can be learned from naturally occurring child-directed utterances (paired with meaning representations), without using any special biases or constraints, and without any explicit developmental changes in the underlying learning mechanism. Furthermore, our model provides explanations for the occasionally contradictory child experimental data, and offers predictions for the behavior of young word learners in novel situations.     

Children's Production of Unfamiliar Word Sequences Is Predicted by Positional Variability and Latent Classes in a Large Sample of Child-Directed Speech

We explore whether children's willingness to produce unfamiliar sequences of words reflects their experience with similar lexical patterns. We asked children to repeat unfamiliar sequences that were identical to familiar phrases (e.g., A piece of toast) but for one word (e.g., a novel instantiation of A piece of X, like A piece of brick). We explore two predictions-motivated by findings in the statistical learning literature-that children are likely to have detected an opportunity to substitute alternative words into the final position of a four-word sequence if (a) it is difficult to predict the fourth word given the first three words and (b) the words observed in the final position are distributionally similar. Twenty-eight 2-year-olds and thirty-one 3-year-olds were significantly more likely to correctly repeat unfamiliar variants of patterns for which these properties held. The results illustrate how children's developing language is shaped by linguistic experience.     

A Bayesian framework for word segmentation: Exploring the effects of context

Since the experiments of Saffran et al. [Saffran, J., Aslin, R., & Newport, E. (1996). Statistical learning in 8-month-old infants. Science, 274, 1926-1928], there has been a great deal of interest in the question of how statistical regularities in the speech stream might be used by infants to begin to identify individual words. In this work, we use computational modeling to explore the effects of different assumptions the learner might make regarding the nature of words - in particular, how these assumptions affect the kinds of words that are segmented from a corpus of transcribed child-directed speech. We develop several models within a Bayesian ideal observer framework, and use them to examine the consequences of assuming either that words are independent units, or units that help to predict other units. We show through empirical and theoretical results that the assumption of independence causes the learner to undersegment the corpus, with many two- and three-word sequences (e.g. what’s that, do you, in the house) misidentified as individual words. In contrast, when the learner assumes that words are predictive, the resulting segmentation is far more accurate. These results indicate that taking context into account is important for a statistical word segmentation strategy to be successful, and raise the possibility that even young infants may be able to exploit more subtle statistical patterns than have usually been considered.     

Learning the unlearnable: the role of missing evidence

Syntactic knowledge is widely held to be partially innate, rather than learned. In a classic example, it is sometimes argued that children know the proper use of anaphoric one, although that knowledge could not have been learned from experience. Lidz et al. [Lidz, J., Waxman, S., & Freedman, J. (2003). What infants know about syntax but couldn't have learned: Experimental evidence for syntactic structure at 18 months. Cognition, 89, B65-B73.] pursue this argument, and present corpus and experimental evidence that appears to support it; they conclude that specific aspects of this knowledge must be innate. We demonstrate, contra Lidz et al., that this knowledge may in fact be acquired from the input, through a simple Bayesian learning procedure. The learning procedure succeeds because it is sensitive to the absence of particular input patterns--an aspect of learning that is apparently overlooked by Lidz et al. More generally, we suggest that a prominent form of the "argument from poverty of the stimulus" suffers from the same oversight, and is as a result logically unsound.     

Enhancing Cognitive‐Behavioural Therapy (CBT) Skill Acquisition Through Experiential and Reflective Learning: A Commentary on Studies Examining the Impact of Self‐Practice and Self‐Reflection in CBT

Self‐practice and self‐reflection (SP/SR) is a targeted training tool that is intended to increase CBT competency in therapists. The four articles reviewed in this commentary examine the benefits of SP/SR with various types of therapists, and survey the significant obstacles faced in implementing this tool with clinicians. Collectively, these articles conclude that SP/SR is a valuable tool in improving CBT skill acquisition and preventing burnout, particularly with difficult patients, but that most therapists elect not to use it largely because of the time involved in engaging in it. In this commentary, I suggest that empirical studies with larger samples and controlled designs are needed to build on the wealth of qualitative data collected to date in order to assess the value added by SP/SR compared with other training methods, and in order to determine its impact on a range of therapeutic outcomes. I also suggest that future studies should examine the efficacy of required SP/SR engagement, isolate its critical ingredients, and assess if there are clients and therapists for whom SP/SR is comparably more effective.     

Indirect evidence and the poverty of the stimulus: the case of anaphoric one

It is widely held that children's linguistic input underdetermines the correct grammar, and that language learning must therefore be guided by innate linguistic constraints. Here, we show that a Bayesian model can learn a standard poverty-of-stimulus example, anaphoric one , from realistic input by relying on indirect evidence, without a linguistic constraint assumed to be necessary. Our demonstration does, however, assume other linguistic knowledge; thus, we reduce the problem of learning anaphoric one to that of learning this other knowledge. We discuss whether this other knowledge may itself be acquired without linguistic constraints.     

An Evidence‐Based Model for Understanding the Mental Health Experiences of Transgender Australians

A growing body of empirical research has documented the mental health experiences of Australian transgender people. This research indicates three key factors that appear to play a role in determining outcomes for adult transgender Australians: (a) discrimination, (b) access to hormones and/or surgery, (c) community connectedness. Two theoretical frameworks clarify why these factors exist and how they can lead to either negative or positive mental health outcomes. The first is cisgenderism, which describes the ideology that delegitimises people's own understanding of their genders and bodies. Although anyone can experience cisgenderism, it is a particularly common experience for transgender people. The second is decompensation, which describes the processes through which the cumulative effects of stressors may lead to poor mental health. Drawing on both previous empirical findings and these two theoretical frameworks, this article proposes, and provides initial testing of, a model for understanding the mental health of transgender adults in Australia. The article concludes by suggesting the need for changes regarding how decisions are made about mental health service provision for transgender people, how mental health professionals understand the lives of transgender people, and how legislation can better ensure the full inclusion of transgender people in Australia.     

In search of a science‐based application: A learning tool for reading acquisition

This is a story about the fate of a psychological application: from its conception to the optimistic vision surrounding its future. We hope that this application – an enjoyable learning game (www or mobile phone‐based, available free of charge to the end users) for children – can at best help millions of children in their reading acquisition in the future. Its basis was created by following intensively the development of children with (N = 107) and without (N = 92) genetic (familial) risk for dyslexia from birth to puberty in the Jyväskylä Longitudinal study of Dyslexia (JLD)‐project. We summarize some of the major findings of the JLD in order to facilitate understanding of the reasons and logic behind the development of the game. Originally intended as a research tool for reading acquisition, its potential for prevention of reading difficulties was quickly recognized.     

Early Positive Information Impacts Final Evaluations: No Deliberation‐Without‐Attention Effect and a Test of a Dynamic Judgment Model

Evaluation judgments were affected by information order and not by subsequent unconscious versus conscious deliberation. In three experiments, we examined the influence of early positive information on final evaluations of four objects. Based on a task analysis, we predicted primacy effects in judgments in a sequential data acquisition task. Thinking periods following presentation were used to manipulate conscious or unconscious processing. In all three studies, we found no effects of thinking manipulations but instead found reliable order effects. We developed and tested an online judgment model on the basis of the belief updating model of Hogarth and Einhorn. The model accounted for large proportion of the individual level variability, and model comparison tests supported the presence of a primacy effect. Copyright © 2013 John Wiley & Sons, Ltd.     

A review of Evidence‐Based Evaluation of Measures for Assessing Social and Emotional Well‐Being in Indigenous Australians

Addressing low levels of social and emotional well‐being (SEWB) in Indigenous communities has been a national strategic priority for over 10 years and yet progress in assessing the impact of interventions has been slow. One of the key factors limiting the development of evidence‐based practice has been the lack of well‐validated instruments to assess SEWB and how it changes over time as a result of intervention. This article systematically reviews available measures, classifying them in terms of the evidence base that exists to support their use. It is concluded that there is an ongoing need to develop psychometrically sound, comprehensive, culturally appropriate measures to operationalise Indigenous SEWB at a population health, programme evaluation, and clinical level. It is suggested that seven pathways be followed to achieve this goal, including the need to recognise that the gold standard status for Indigenous measurement tools cannot be ascribed based on evidence‐based assessment criteria alone.     

On the Observability of Purely Behavioral Sunk-Cost Effects: Theoretical and Empirical Support for the BISC Model

There is growing interest in whether and how sunk-cost effects for purely behavioral investments occur. In this article, we further discuss Cunha and Caldieraro's (2009) Behavioral Investment Sunk Cost (BISC) model and reconcile Otto's (2010) results with the BISC model predictions. We also report new data from two unpublished experiments that are consistent with the BISC model, and we discuss the conditions under which purely behavioral sunk-cost effects are likely to be observed.     

A theory of the visual system biology underlying development of spatial frequency lateralization

The spatial frequency hypothesis contends that performance differences between the hemispheres on various visuospatial tasks are attributable to lateralized processing of the spatial frequency content of visual stimuli. Hellige has proposed that such lateralization could arise during infant development from the earlier maturation of the right hemisphere combined with the increasing sensitivity of the visual system to high spatial frequencies. This proposal is intuitively appealing but lacks an explicit theory with respect to the underlying visual system biology. In this paper, we develop such a theory based on knowledge of visual system processing and development. We then translate our theory into a computational model that serves as the basis for a series of development simulations. We find that the simulations produce spatial frequency lateralization effects consistent with those observed empirically. We relate the nature of the neural asymmetry implied by our theory to empirical findings on visual pathway bias and the relative spatial frequency lateralization effect.     

Cross‐cultural validation of the counselor burnout inventory in hong kong

This study investigated the cross‐cultural validation of the Chinese translation of the Counselor Burnout Inventory (CBI) with a sample of school counselors in Hong Kong. Specifically, this study examined the CBI's factor structure using confirmatory factor analysis and calculated the effect size, to compare burnout scores among the counselors of 4 countries (Hong Kong, Japan, South Korea, and the United States). Results indicated that a 5‐factor model was the most appropriate to accommodate the data. In addition, the results showed that the levels of Hong Kong counselors’ burnout were similar to those of U.S. counselors, but differed from counselors in Japan and South Korea.     

In‐group representation and social value affect the use of in‐group identification for maintaining and enhancing self‐evaluation

Individuals with independent self‐construals identify with their in‐group in order to buffer threats to self‐esteem to a greater degree than do those with interdependent self‐construals. This study focused on the effect of the in‐group's social value and representation on this identification process among individuals who reported various real‐world threats to their self‐esteem. We conducted a questionnaire survey for university students and we examined how self‐construal, the in‐group social value, and the in‐group representation either moderate or mediate the relationship between threat to self‐esteem and identification with their academic departments. The results of multiple‐group analyses of structural equation modelling showed that independents who reported more threats to their self‐esteem identified with the in‐group when it was high in social value. In contrast, they did not exhibit in‐group identification when it was low in social value. Interdependents showed less in‐group identification regardless of the in‐group's social value. The representation of the in‐group as a common identity group mediated the relationship between threat to self‐esteem and in‐group identification for independents, whereas the representation of a common bond group played the same role for interdependents. These findings suggest the importance of considering the role of self‐construal and the in‐group social value, along with the representation of in‐group, in understanding in‐group identification in situations of threat to self‐esteem.