The evolution of frequency distributions: Relating regularization to inductive biases through iterated learning

The regularization of linguistic structures by learners has played a key role in arguments for strong innate constraints on language acquisition, and has important implications for language evolution. However, relating the inductive biases of learners to regularization behavior in laboratory tasks can be challenging without a formal model. In this paper we explore how regular linguistic structures can emerge from language evolution by iterated learning, in which one person’s linguistic output is used to generate the linguistic input provided to the next person. We use a model of iterated learning with Bayesian agents to show that this process can result in regularization when learners have the appropriate inductive biases. We then present three experiments demonstrating that simulating the process of language evolution in the laboratory can reveal biases towards regularization that might not otherwise be obvious, allowing weak biases to have strong effects. The results of these experiments suggest that people tend to regularize inconsistent word-meaning mappings, and that even a weak bias towards regularization can allow regular languages to be produced via language evolution by iterated learning.     

Grammatical pattern learning by human infants and cotton-top tamarin monkeys

There is a surprising degree of overlapping structure evident across the languages of the world. One factor leading to cross-linguistic similarities may be constraints on human learning abilities. Linguistic structures that are easier for infants to learn should predominate in human languages. If correct, then (a) human infants should more readily acquire structures that are consistent with the form of natural language, whereas (b) non-human primates' patterns of learning should be less tightly linked to the structure of human languages. Prior experiments have not directly compared laboratory-based learning of grammatical structures by human infants and non-human primates, especially under comparable testing conditions and with similar materials. Five experiments with 12-month-old human infants and adult cotton-top tamarin monkeys addressed these predictions, employing comparable methods (familiarization-discrimination) and materials. Infants rapidly acquired complex grammatical structures by using statistically predictive patterns, failing to learn structures that lacked such patterns. In contrast, the tamarins only exploited predictive patterns when learning relatively simple grammatical structures. Infant learning abilities may serve both to facilitate natural language acquisition and to impose constraints on the structure of human languages.     

The Utility of Cognitive Plausibility in Language Acquisition Modeling: Evidence From Word Segmentation

The informativity of a computational model of language acquisition is directly related to how closely it approximates the actual acquisition task, sometimes referred to as the model's cognitive plausibility. We suggest that though every computational model necessarily idealizes the modeled task, an informative language acquisition model can aim to be cognitively plausible in multiple ways. We discuss these cognitive plausibility checkpoints generally and then apply them to a case study in word segmentation, investigating a promising Bayesian segmentation strategy. We incorporate cognitive plausibility by using an age‐appropriate unit of perceptual representation, evaluating the model output in terms of its utility, and incorporating cognitive constraints into the inference process. Our more cognitively plausible model shows a beneficial effect of cognitive constraints on segmentation performance. One interpretation of this effect is as a synergy between the naive theories of language structure that infants may have and the cognitive constraints that limit the fidelity of their inference processes, where less accurate inference approximations are better when the underlying assumptions about how words are generated are less accurate. More generally, these results highlight the utility of incorporating cognitive plausibility more fully into computational models of language acquisition.     

Language Evolution Can Be Shaped by the Structure of the World

Human languages vary in many ways but also show striking cross‐linguistic universals. Why do these universals exist? Recent theoretical results demonstrate that Bayesian learners transmitting language to each other through iterated learning will converge on a distribution of languages that depends only on their prior biases about language and the quantity of data transmitted at each point; the structure of the world being communicated about plays no role (Griffiths & Kalish, 2005 , 2007 ). We revisit these findings and show that when certain assumptions about the relationship between language and the world are abandoned, learners will converge to languages that depend on the structure of the world as well as their prior biases. These theoretical results are supported with a series of experiments showing that when human learners acquire language through iterated learning, the ultimate structure of those languages is shaped by the structure of the meanings to be communicated.     

Why is number word learning hard? Evidence from bilingual learners

Young children typically take between 18 months and 2 years to learn the meanings of number words. In the present study, we investigated this developmental trajectory in bilingual preschoolers to examine the relative contributions of two factors in number word learning: (1) the construction of numerical concepts, and (2) the mapping of language specific words onto these concepts. We found that children learn the meanings of small number words (i.e., one, two, and three) independently in each language, indicating that observed delays in learning these words are attributable to difficulties in mapping words to concepts. In contrast, children generally learned to accurately count larger sets (i.e., five or greater) simultaneously in their two languages, suggesting that the difficulty in learning to count is not tied to a specific language. We also replicated previous studies that found that children learn the counting procedure before they learn its logic – i.e., that for any natural number, n, the successor of n in the count list denotes the cardinality n + 1. Consistent with past studies, we found that children’s knowledge of successors is first acquired incrementally. In bilinguals, we found that this knowledge exhibits item-specific transfer between languages, suggesting that the logic of the positive integers may not be stored in a language-specific format. We conclude that delays in learning the meanings of small number words are mainly due to language-specific processes of mapping words to concepts, whereas the logic and procedures of counting appear to be learned in a format that is independent of a particular language and thus transfers rapidly from one language to the other in development.     

Cultural Variation in the Development of Beliefs About Conservation

Examining variation in reasoning about sustainability between diverse populations provides unique insight into how group norms surrounding resource conservation develop. Cultural institutions, such as religious organizations and formal schools, can mobilize communities to solve collective challenges associated with resource depletion. This study examined conservation beliefs in a Western industrialized (Austin, Texas, USA) and a non-Western, subsistence agricultural community (Tanna, Vanuatu) among children, adolescents, and adults (N = 171; n = 58 7–12-year-olds, n = 53 13–17-year-olds, and n = 60 18–68-year-olds). Participants endorsed or rejected four types of justifications for engaging in land and animal conservation: sustainability, moral, religious, or permissible. In both populations, participants endorsed sustainability justifications most frequently. Religious justifications increased with age in Tanna and decreased with age in Austin. Tannese participants were also more likely to endorse multiple justifications for conservation than Austin participants. Data across all justification types show a main effect of age in both communities; endorsement of conservation decreased with age in Austin, but increased with age in Tanna. Across age groups, participants were more likely to endorse the conservation of animals than land in Austin, yet equally as likely to endorse the conservation of land and animals in Tanna. Overall, these results reveal similarities and differences in the beliefs that support the conservation of natural resources across populations.     

Couple Adjustment and Differentiation of Self in the United States,Italy, and Spain: A Cross-Cultural Study

This study comprises a first attempt to explore a cross-cultural application of Bowen family systems theory and examines the relationship between differentiation of self and couple adjustment using measurement invariance. A sample of 2,141 individuals (n = 915 from the United States; n = 635 from Italy; n = 591 from Spain) completed measures of differentiation of self (DSI-R; Skowron & Schmitt, J Marital Fam Ther, 29, 2003, 209) and couple adjustment (DAS; Spanier, J Marriage Fam, 38, 1976, 15). Results showed evidence of partial measurement equivalence for the DSI-R across the three samples. Additionally, results from latent regression showed that less emotional cutoff predicted greater couple adjustment in the United States, Spain, and Italy, whereas greater emotional reactivity predicted poorer couple adjustment only in the more collectivistic cultures, Spain and Italy. Our findings are consistent with prior empirical studies, which suggest that emotional cutoff is a strong predictor of relationship adjustment. The use of measurement invariance provides a foundation for future studies to continue employing rigorous statistical methods when examining constructs across different cultures. The findings highlight culture-specific similarities and differences in differentiation that may benefit practitioners by informing psychotherapy with individuals, couples, or families from diverse populations.     

Language structure: psychological and social constraints

In this article we discuss the notion of a linguistic universal, and possible sources of such invariant properties of natural languages. In the first part, we explore the conceptual issues that arise. In the second part of the paper, we focus on the explanatory potential of horizontal evolution. We particularly focus on two case studies, concerning Zipf’s Law and universal properties of color terms, respectively. We show how computer simulations can be employed to study the large scale, emergent, consequences of psychologically and psychologically motivated assumptions about the working of horizontal language transmission.     

Modeling the Development of Children's Use of Optional Infinitives in Dutch and English Using MOSAIC

In this study we use a computational model of language learning called model of syntax acquisition in children (MOSAIC) to investigate the extent to which the optional infinitive (OI) phenomenon in Dutch and English can be explained in terms of a resource-limited distributional analysis of Dutch and English child-directed speech. The results show that the same version of MOSAIC is able to simulate changes in the pattern of finiteness marking in 2 children learning Dutch and 2 children learning English as the average length of their utterances increases. These results suggest that it is possible to explain the key features of the OI phenomenon in both Dutch and English in terms of the interaction between an utterance-final bias in learning and the distributional characteristics of child-directed speech in the 2 languages. They also show how computational modeling techniques can be used to investigate the extent to which cross-linguistic similarities in the developmental data can be explained in terms of common processing constraints as opposed to innate knowledge of universal grammar.     

What Does Children's Spatial Language Reveal About Spatial Concepts? Evidence From the Use of Containment Expressions

Children's overextensions of spatial language are often taken to reveal spatial biases. However, it is unclear whether extension patterns should be attributed to children's overly general spatial concepts or to a narrower notion of conceptual similarity allowing metaphor‐like extensions. We describe a previously unnoticed extension of spatial expressions and use a novel method to determine its origins. English‐ and Greek‐speaking 4‐ and 5‐year‐olds used containment expressions (e.g., English into, Greek mesa) for events where an object moved into another object but extended such expressions to events where the object moved behind or under another object. The pattern emerged in adult speakers of both languages and also in speakers of 10 additional languages. We conclude that learners do not have an overly general concept of Containment. Nevertheless, children (and adults) perceive similarities across Containment and other types of spatial scenes, even when these similarities are obscured by the conventional forms of the language.     

Atypical birdsong and artificial languages provide insights into how communication systems are shaped by learning,use, and transmission

In this article, I argue that a comparative approach focusing on the cognitive capacities and behavioral mechanisms that underlie vocal learning in songbirds and humans can provide valuable insights into the evolutionary origins of language. The experimental approaches I discuss use abnormal song and atypical linguistic input to study the processes of individual learning, social interaction, and cultural transmission. Atypical input places increased learning and communicative pressure on learners, so exploring how they respond to this type of input provides a particularly clear picture of the biases and constraints at work during learning and use. Furthermore, simulating the cultural transmission of these unnatural communication systems in the laboratory informs us about how learning and social biases influence the structure of communication systems in the long run. Findings based on these methods suggest fundamental similarities in the basic social–cognitive mechanisms underlying vocal learning in birds and humans, and continuing research promises insights into the uniquely human mechanisms and into how human cognition and social behavior interact, and ultimately impact on the evolution of language.     

Visitor Usage of Digital and Physical Artifacts in Two Museum Programs

ABSTRACT

This article reports on a study designed to explore how digital and physical reproductions of original artifacts could be incorporated into museum programs that teach visitors about mechanical motion. Museum visitors were introduced to 3 different types of models through 2 different programs: an engineering design challenge and an exhibit interpretation exploring mechanical motion in every-day objects. Research, based on visitor observation and interviews (n = 79), explored how user interaction with the digital and physical models compared with interactions with the original artifacts, assessed what effect the integration of digital and physical models had on learning, and examined what the learning experience looked like for learners using the mechanisms in the museum activities. Analysis of the learning conversations in additional in-depth case studies (n = 8) for both programs provides a detailed look at how visitors integrated the 3 different model types into their group's experience. Results showed that visitors' usage of, attitudes toward, and learning from the three different types of mechanical models varied based on the visitor or educators' perceived value of the particular model, which was impacted by the context in which the objects were presented.     

SES differences in language processing skill and vocabulary are evident at 18 months

This research revealed both similarities and striking differences in early language proficiency among infants from a broad range of advantaged and disadvantaged families. English‐learning infants (n = 48) were followed longitudinally from 18 to 24 months, using real‐time measures of spoken language processing. The first goal was to track developmental changes in processing efficiency in relation to vocabulary learning in this diverse sample. The second goal was to examine differences in these crucial aspects of early language development in relation to family socioeconomic status (SES). The most important findings were that significant disparities in vocabulary and language processing efficiency were already evident at 18 months between infants from higher‐ and lower‐SES families, and by 24 months there was a 6‐month gap between SES groups in processing skills critical to language development.     

Learning a second language by playing a game

Game‐like educational apps are intended to boost learner motivation leading to better learning outcomes. To test this idea about the value of gamification, college students (n = 64) learned Italian by playing the online language learning game, Duolingo at home for seven sessions, or learned the same material through watching an online slideshow for seven sessions. Although the groups did not differ significantly on achievement posttests, the Duolingo group rated their learning experience as significantly more enjoyable (d = 0.77), more appealing (d = 1.17), and less difficult (d = 0.51), and was significantly more willing to continue with similar learning experiences (d = 1.39). Overall, these results point to the motivational and affective benefits of Duolingo as a promising alternative to more traditional methods for students who may require additional motivation not to disengage from the material.     

Automatic evaluation of syntactic learners in typologically-different languages

Human syntax acquisition involves a system that can learn constraints on possible word sequences in typologically-different human languages. Evaluation of computational syntax acquisition systems typically involves theory-specific or language-specific assumptions that make it difficult to compare results in multiple languages. To address this problem, a bag-of-words incremental generation (BIG) task with an automatic sentence prediction accuracy (SPA) evaluation measure was developed. The BIG–SPA task was used to test several learners that incorporated n-gram statistics which are commonly found in statistical approaches to syntax acquisition. In addition, a novel Adjacency–Prominence learner, that was based on psycholinguistic work in sentence production and syntax acquisition, was also tested and it was found that this learner yielded the best results in this task on these languages. In general, the BIG–SPA task is argued to be a useful platform for comparing explicit theories of syntax acquisition in multiple languages.     

Identifying bilingual semantic neural representations across languages

The goal of the study was to identify the neural representation of a noun’s meaning in one language based on the neural representation of that same noun in another language. Machine learning methods were used to train classifiers to identify which individual noun bilingual participants were thinking about in one language based solely on their brain activation in the other language. The study shows reliable (p < .05) pattern-based classification accuracies for the classification of brain activity for nouns across languages. It also shows that the stable voxels used to classify the brain activation were located in areas associated with encoding information about semantic dimensions of the words in the study. The identification of the semantic trace of individual nouns from the pattern of cortical activity demonstrates the existence of a multi-voxel pattern of activation across the cortex for a single noun common to both languages in bilinguals.     

Effects of past language experience and present language context on the shape bias in Spanish–English bilingual children

English‐monolingual children develop a shape bias early in language acquisition, such that they more often generalize a novel label based on shape than other features. Spanish‐monolingual children, however, do not show this bias to the same extent (Hahn & Cantrell, 2012). Studying children who are simultaneously learning both Spanish and English presents a unique opportunity to further investigate how this word‐learning bias develops. Thus, we asked how Spanish–English bilingual children (M_age = 21.31 months) perform in a novel‐noun generalization (NNG) task, specifically examining how past language experience (i.e. language exposure and vocabulary size) and present language context (i.e. whether the NNG task was conducted in Spanish or English) influence the strength of the shape bias. Participants completed the NNG task either entirely in English (N = 16) or entirely in Spanish (N = 16), as well as language understanding tasks in both English and Spanish to ensure that they understood what the experimenter was asking them to do. Parents completed a language exposure survey and vocabulary checklists in Spanish and English. There was a significant interaction between condition and choice type: Bilingual children in the English condition showed a shape bias in the NNG task, but bilingual children in the Spanish condition showed no reliable biases. No measures of past language experience were related to NNG task performance. These results suggest that when learning new words, bilingual children are attuned to the regularities of the present language context, and prior language experiences may play a more secondary role.     

Career transitions and career success in the ‘new’ career era

The ‘new’ career, most notably the boundaryless career, is associated with high career mobility, which is in turn associated with employability and career success of individuals. The current study examined how frequency, form (organisational, horizontal or vertical) and impact (objective career success) of career transitions have changed across two cohorts of Austrian business graduates (1970 and 1990) throughout the first 15 years of their careers (n = 291). Data for the study were collected by way of standardised questionnaires; participants' career transitions (n = 807) were plotted based on curriculum-vitae type lists of their successive jobs. This research examined two assumptions: (1) that careers have become more turbulent and complex and (2) that this is generally a positive evolution for individuals. Results indicate that overly dramatic claims about the ‘death’ of the traditional-organisational career need to be reconsidered.     

Bilingual Performance on the Boston Naming Test: Preliminary Norms in Spanish and English

A total of 100 young educated bilingual adults were administered the Boston Naming Test (BNT) (Kaplan, Goodglass, & Weintraub, 1983) in both Spanish and English. Three group performance scores were obtained: English only, Spanish only, and a composite score indicating the total number of items correctly named independent of language. The scores for the entire group were significantly greater in English than in Spanish. An additional set of analyses explored individual differences in picture naming performance across the two languages as measured by the BNT. For a subset of the larger group (n= 25) there were significant differences in composite over single language scoring, but no significant differences between Spanish and English. Item analyses of correct responses were conducted in both languages to explore the construct validity of the standardized administration of the BNT with this population. There was much greater variability in responses over the Spanish items for this bilingual group. The results of a correlation analysis of information obtained from the initial questionnaire with the BNT scores in each language is also reported. The practical implications of this preliminary bilingual BNT normative data are discussed.