492,004 research outputs found

    In-depth analysis of the Naming Game dynamics: the homogeneous mixing case

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    Language emergence and evolution has recently gained growing attention through multi-agent models and mathematical frameworks to study their behavior. Here we investigate further the Naming Game, a model able to account for the emergence of a shared vocabulary of form-meaning associations through social/cultural learning. Due to the simplicity of both the structure of the agents and their interaction rules, the dynamics of this model can be analyzed in great detail using numerical simulations and analytical arguments. This paper first reviews some existing results and then presents a new overall understanding.Comment: 30 pages, 19 figures (few in reduced definition). In press in IJMP

    Did social cognition evolve by cultural group selection?

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    Abstract Cognitive gadgets puts forward an ambitious claim: language, mindreading, and imitation evolved by cultural group selection. Defending this claim requires more than Heyes' spirited and effective critique of nativist claims. The latest human “cognitive gadgets,” such as literacy, did not spread through cultural group selection. Why should social cognition be different? The book leaves this question pending. It also makes strong assumptions regarding cultural evolution: it is moved by selection rather than transformation; it relies on high-fidelity imitation; it requires specific cognitive adaptations to cultural learning. Each of these assumptions raises crucial yet unaddressed difficulties

    Social networks and cultural transmission

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    Language is a complex dynamical system that is shaped not just through biological evolution but by the way it is used in a social context. Sociolinguists have long understood that the structure of a society strongly affects the nature of the languages that emerge. Computational models of language evolution, however, generally neglect the effect of social structure by modelling extremely simple population dynamics. This study explores the coevolution of language and social structure using a simple, abstract model of language learning and a plausible mechanism for network growth, namely homophily. Evolved networks are found to possess the characteristic measures of social networks: assortative mixing, transitivity and prominent community structure. The effect of embedding language-learners in the network is found to be significant. This model may also provide a platform on which existing theories and computational models of language evolution can be evaluated

    Examining Temporal Bias in Abusive Language Detection

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    The use of abusive language online has become an increasingly pervasive problem that damages both individuals and society, with effects ranging from psychological harm right through to escalation to real-life violence and even death. Machine learning models have been developed to automatically detect abusive language, but these models can suffer from temporal bias, the phenomenon in which topics, language use or social norms change over time. This study aims to investigate the nature and impact of temporal bias in abusive language detection across various languages and explore mitigation methods. We evaluate the performance of models on abusive data sets from different time periods. Our results demonstrate that temporal bias is a significant challenge for abusive language detection, with models trained on historical data showing a significant drop in performance over time. We also present an extensive linguistic analysis of these abusive data sets from a diachronic perspective, aiming to explore the reasons for language evolution and performance decline. This study sheds light on the pervasive issue of temporal bias in abusive language detection across languages, offering crucial insights into language evolution and temporal bias mitigation

    Foreign Language: Examining systemic attitudes, xenophobia, and foreign language anxiety

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    With the focus on the systemic attitudes, this study examines previous background in foreign language, attitudes about language in general, and the relation of language to identity. This study stresses the defining process in the making of American as a national and cultural identity, and how it has changed over the years. It examines the role of xenophobia and xenoglossophobia in the context of American identity, and through its evolution in past and current sociopolitical believes impacting an overall disinterest in foreign language. The disinterest in foreign language is investigated to discover the reasons why foreign language programs are being cut, why people are not studying them, and why they are not growing despite the presented humanistic, economic, and social benefits. It explores the historical background of interest and disinterest in foreign language and how that is tied to an establish pattern of nativist attitudes that include aspects such as English-only policies. This study surveyed 100 participants about their perspectives on foreign language and how it relates to identity, their ability to speak another language, and what factors prevent someone from learning another language. With these results, this study is a call to action for foreign language education in the United States and awareness of differences in cultural attitudes, norms, and beliefs tied to language

    Understanding Language Evolution in Overlapping Generations of Reinforcement Learning Agents

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    Available from MIT Press via the DOI in this recordUnderstanding how the dynamics of language learning and language change are influenced by the population structure of language users is crucial to understanding how lexical items and grammatical rules become established within the context of the cultural evolution of human language. This paper extends the recent body of work on the development of term-based languages through signalling games by exploring signalling game dynamics in a social population with overlapping generations. Specifically, we present a model with a dynamic population of agents, consisting of both mature and immature language users, where the latter learn from the former's interactions with one another before reaching maturity. It is shown that populations in which mature individuals converse with many partners are more able to solve more complex signalling games. While interacting with a higher number of individuals initially makes it more difficult for language users to establish a conventionalised language, doing so leads to increased diversity within the input for language learners, and that this prevents them from developing the more idiosyncratic language that emerge when agents only interact with a small number of individuals. This, in turn, prevents the signalling conventions having to be renegotiated with each new generation of language users, resulting in the emerging language being more stable over subsequent generations of language users. Furthermore, it is shown that allowing the children of language users to interact with one another is beneficial to the communicative success of the population when the number of partners that mature agents interact with is low

    Multimodality in English for specific purposes: Reconceptualizing meaning-making practices

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    The rapid evolution from print-based to multimodal information has still not received sufficient attention from the field of English for Specific Purposes (ESP). This paper advocates the need to re-conceptualize ESP through multimodal practice for new opportunities of interactive learner engagement. For the purpose, qualitative, exploratory research was conducted on multimodal ESP practice carried out with post-graduate students at the University of Calabria in Italy. The study addresses the issues of how multimodal environments can affect ESP and how a multimodal assignment can influence learner motivation, engagement and awareness. A theoretical multimodal semiotic approach was combined with multimodal pedagogy to investigate the benefits of learners’ engagement in creating artefacts with content-specific language, as well as developing awareness of their meaning-making processes. A questionnaire survey revealed learners’ active involvement determined by intrinsic, extrinsic and achievement motivation of working in a multimodal environment. Learner artefacts showed their ability to produce content-specific language in specialized contexts of use and to creatively combine the linguistic elements with other semiotic resources. In their explanations of meaning-making processes, learners further manifested their awareness of how multimodality can stimulate motivation in learning, foster critical thinking and decision-making skills, enhance natural and flexible language learning, as well as the use of prior specialized knowledge in switching between linguistic and other semiotic modes. The study suggests that ESP development can benefit more from a multimodal pedagogy which is grounded in the principles of learner-centredness, constructivist learning and social interaction compared to the traditional instructivist approach.
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