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  1. The Role of Feedback in the Statistical Learning of Language‐Like Regularities.Felicity F. Frinsel, Fabio Trecca & Morten H. Christiansen - 2024 - Cognitive Science 48 (3):e13419.
    In language learning, learners engage with their environment, incorporating cues from different sources. However, in lab‐based experiments, using artificial languages, many of the cues and features that are part of real‐world language learning are stripped away. In three experiments, we investigated the role of positive, negative, and mixed feedback on the gradual learning of language‐like statistical regularities within an active guessing game paradigm. In Experiment 1, participants received deterministic feedback (100%), whereas probabilistic feedback (i.e., 75% or 50%) was introduced in (...)
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  • Social Practice and Shared History, Not Social Scale, Structure Cross‐Cultural Complexity in Kinship Systems.Péter Rácz, Sam Passmore & Fiona M. Jordan - 2020 - Topics in Cognitive Science 12 (2):744-765.
    Kinship terminologies are basic cognitive semantic systems that all human societies use for organizing kin relations. Diversity in kinship systems and their categories is substantial, but constrained. Rácz, Passmore, and Jordan explore hypotheses about such constraints from learning theories and social pressures, testing the impact of a community‐size driven learning bottleneck against the social coordination demands of different kinds of marriage and resource systems.
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  • Can infants learn phonology in the lab? A meta-analytic answer.Alejandrina Cristia - 2018 - Cognition 170 (C):312-327.
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  • The Relationship Between Artificial and Second Language Learning.Marc Ettlinger, Kara Morgan-Short, Mandy Faretta-Stutenberg & Patrick C. M. Wong - 2016 - Cognitive Science 40 (4):822-847.
    Artificial language learning experiments have become an important tool in exploring principles of language and language learning. A persistent question in all of this work, however, is whether ALL engages the linguistic system and whether ALL studies are ecologically valid assessments of natural language ability. In the present study, we considered these questions by examining the relationship between performance in an ALL task and second language learning ability. Participants enrolled in a Spanish language class were evaluated using a number of (...)
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  • Perception of tones by infants learning a non-tone language.Liquan Liu & René Kager - 2014 - Cognition 133 (2):385-394.
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  • (1 other version)From domain-generality to domain-sensitivity: 4-Month-olds learn an abstract repetition rule in music that 7-month-olds do not. [REVIEW]Colin Dawson & LouAnn Gerken - 2009 - Cognition 111 (3):378-382.
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  • (1 other version)Learning phonetic categories by tracking movements.Bruno Gauthier, Rushen Shi & Yi Xu - 2007 - Cognition 103 (1):80-106.
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  • Infant music perception: Domain-general or domain-specific mechanisms?Sandra E. Trehub & Erin E. Hannon - 2006 - Cognition 100 (1):73-99.
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  • iMinerva: A Mathematical Model of Distributional Statistical Learning.Erik D. Thiessen & Philip I. Pavlik - 2013 - Cognitive Science 37 (2):310-343.
    Statistical learning refers to the ability to identify structure in the input based on its statistical properties. For many linguistic structures, the relevant statistical features are distributional: They are related to the frequency and variability of exemplars in the input. These distributional regularities have been suggested to play a role in many different aspects of language learning, including phonetic categories, using phonemic distinctions in word learning, and discovering non-adjacent relations. On the surface, these different aspects share few commonalities. Despite this, (...)
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  • (1 other version)Using Variability to Guide Dimensional Weighting: Associative Mechanisms in Early Word Learning.Keith S. Apfelbaum & Bob McMurray - 2011 - Cognitive Science 35 (6):1105-1138.
    At 14 months, children appear to struggle to apply their fairly well-developed speech perception abilities to learning similar sounding words (e.g., bih/dih; Stager & Werker, 1997). However, variability in nonphonetic aspects of the training stimuli seems to aid word learning at this age. Extant theories of early word learning cannot account for this benefit of variability. We offer a simple explanation for this range of effects based on associative learning. Simulations suggest that if infants encode both noncontrastive information (e.g., cues (...)
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  • Does bilingual experience influence statistical language learning?Jose A. Aguasvivas, Jesús Cespón & Manuel Carreiras - 2024 - Cognition 242 (C):105639.
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  • School-Aged Children Learn Novel Categories on the Basis of Distributional Information.Iris Broedelet, Paul Boersma & Judith Rispens - 2022 - Frontiers in Psychology 12.
    Categorization of sensory stimuli is a vital process in understanding the world. In this paper we show that distributional learning plays a role in learning novel object categories in school-aged children. An 11-step continuum was constructed based on two novel animate objects by morphing one object into the other in 11 equal steps. Forty-nine children were subjected to one of two familiarization conditions during which they saw tokens from the continuum. The conditions differed in the position of the distributional peaks (...)
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  • Statistical Learning Is Not Age‐Invariant During Childhood: Performance Improves With Age Across Modality.Amir Shufaniya & Inbal Arnon - 2018 - Cognitive Science 42 (8):3100-3115.
    Humans are capable of extracting recurring patterns from their environment via statistical learning (SL), an ability thought to play an important role in language learning and learning more generally. While much work has examined statistical learning in infants and adults, less work has looked at the developmental trajectory of SL during childhood to see whether it is fully developed in infancy or improves with age, like many other cognitive abilities. A recent study showed modality‐based differences in the effect of age (...)
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  • Cognitive science in the era of artificial intelligence: A roadmap for reverse-engineering the infant language-learner.Emmanuel Dupoux - 2018 - Cognition 173 (C):43-59.
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  • Object labeling influences infant phonetic learning and generalization.H. Henny Yeung & Thierry Nazzi - 2014 - Cognition 132 (2):151-163.
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  • Infants learn phonotactic regularities from brief auditory experience.Kyle E. Chambers, Kristine H. Onishi & Cynthia Fisher - 2003 - Cognition 87 (2):B69-B77.
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  • Is statistical learning constrained by lower level perceptual organization?Lauren L. Emberson, Ran Liu & Jason D. Zevin - 2013 - Cognition 128 (1):82-102.
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  • Word-level information influences phonetic learning in adults and infants.Naomi H. Feldman, Emily B. Myers, Katherine S. White, Thomas L. Griffiths & James L. Morgan - 2013 - Cognition 127 (3):427-438.
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  • Influences of High and Low Variability on Infant Word Recognition.Leher Singh - 2008 - Cognition 106 (2):833.
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  • Cue integration with categories: Weighting acoustic cues in speech using unsupervised learning and distributional statistics.Joseph C. Toscano & Bob McMurray - 2010 - Cognitive Science 34 (3):434.
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  • Influences of lexical tone and pitch on word recognition in bilingual infants.Leher Singh & Joanne Foong - 2012 - Cognition 124 (2):128-142.
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  • Stress changes the representational landscape: evidence from word segmentation.Suzanne Curtin, Toben H. Mintz & Morten H. Christiansen - 2005 - Cognition 96 (3):233-262.
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  • Infant Phonetic Learning as Perceptual Space Learning: A Crosslinguistic Evaluation of Computational Models.Yevgen Matusevych, Thomas Schatz, Herman Kamper, Naomi H. Feldman & Sharon Goldwater - 2023 - Cognitive Science 47 (7):e13314.
    In the first year of life, infants' speech perception becomes attuned to the sounds of their native language. This process of early phonetic learning has traditionally been framed as phonetic category acquisition. However, recent studies have hypothesized that the attunement may instead reflect a perceptual space learning process that does not involve categories. In this article, we explore the idea of perceptual space learning by implementing five different perceptual space learning models and testing them on three phonetic contrasts that have (...)
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  • Breaking Into Language in a New Modality: The Role of Input and Individual Differences in Recognising Signs.Julia Elisabeth Hofweber, Lizzy Aumonier, Vikki Janke, Marianne Gullberg & Chloe Marshall - 2022 - Frontiers in Psychology 13.
    A key challenge when learning language in naturalistic circumstances is to extract linguistic information from a continuous stream of speech. This study investigates the predictors of such implicit learning among adults exposed to a new language in a new modality. Sign-naïve participants were shown a 4-min weather forecast in Swedish Sign Language. Subsequently, we tested their ability to recognise 22 target sign forms that had been viewed in the forecast, amongst 44 distractor signs that had not been viewed. The target (...)
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  • Prediction and error in early infant speech learning: A speech acquisition model.Jessie S. Nixon & Fabian Tomaschek - 2021 - Cognition 212 (C):104697.
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  • Are Words Easier to Learn From Infant‐ Than Adult‐Directed Speech? A Quantitative Corpus‐Based Investigation.Adriana Guevara-Rukoz, Alejandrina Cristia, Bogdan Ludusan, Roland Thiollière, Andrew Martin, Reiko Mazuka & Emmanuel Dupoux - 2018 - Cognitive Science 42 (5):1586-1617.
    We investigate whether infant‐directed speech (IDS) could facilitate word form learning when compared to adult‐directed speech (ADS). To study this, we examine the distribution of word forms at two levels, acoustic and phonological, using a large database of spontaneous speech in Japanese. At the acoustic level we show that, as has been documented before for phonemes, the realizations of words are more variable and less discriminable inIDSthan inADS. At the phonological level, we find an effect in the opposite direction: TheIDSlexicon (...)
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  • Evidence for a learning bias against saltatory phonological alternations.James White - 2014 - Cognition 130 (1):96-115.
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  • Infant directed speech and the development of speech perception: Enhancing development or an unintended consequence?Bob McMurray, Kristine A. Kovack-Lesh, Dresden Goodwin & William McEchron - 2013 - Cognition 129 (2):362-378.
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  • A Single-Stage Approach to Learning Phonological Categories: Insights From Inuktitut.Brian Dillon, Ewan Dunbar & William Idsardi - 2013 - Cognitive Science 37 (2):344-377.
    To acquire one’s native phonological system, language-specific phonological categories and relationships must be extracted from the input. The acquisition of the categories and relationships has each in its own right been the focus of intense research. However, it is remarkable that research on the acquisition of categories and the relations between them has proceeded, for the most part, independently of one another. We argue that this has led to the implicit view that phonological acquisition is a “two-stage” process: Phonetic categories (...)
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  • Syllable Inference as a Mechanism for Spoken Language Understanding.Meredith Brown, Michael K. Tanenhaus & Laura Dilley - 2021 - Topics in Cognitive Science 13 (2):351-398.
    A classic problem in cognitive science concerns how listeners perceive and understand speech as comprised of discrete words. We propose a Syllable Inference account of spoken word recognition and segmentation, under which alternative hierarchical models of syllables, words, and phonemes are dynamically posited from cues that include current and past speech rate, with a goal of maximal prediction of sensory input. Three experiments using the Visual World eye‐tracking paradigm provide evidence supporting our proposal.
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  • Language at Three Timescales: The Role of Real‐Time Processes in Language Development and Evolution.Bob McMurray - 2016 - Topics in Cognitive Science 8 (2):393-407.
    Evolutionary developmental systems theory stresses that selection pressures operate on entire developmental systems rather than just genes. This study extends this approach to language evolution, arguing that selection pressure may operate on two quasi-independent timescales. First, children clearly must acquire language successfully and evolution must equip them with the tools to do so. Second, while this is developing, they must also communicate with others in the moment using partially developed knowledge. These pressures may require different solutions, and their combination may (...)
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  • The Utility of Cognitive Plausibility in Language Acquisition Modeling: Evidence From Word Segmentation.Lawrence Phillips & Lisa Pearl - 2015 - Cognitive Science 39 (8):1824-1854.
    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 (...)
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  • Unattended exposure to components of speech sounds yields same benefits as explicit auditory training.Aaron R. Seitz, Athanassios Protopapas, Yoshiaki Tsushima, Eleni L. Vlahou, Simone Gori, Stephen Grossberg & Takeo Watanabe - 2010 - Cognition 115 (3):435-443.
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  • Fine-grained sensitivity to statistical information in adult word learning.Athena Vouloumanos - 2008 - Cognition 107 (2):729-742.
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  • Infant-directed speech supports phonetic category learning in English and Japanese.Janet F. Werker, Ferran Pons, Christiane Dietrich, Sachiyo Kajikawa, Laurel Fais & Shigeaki Amano - 2007 - Cognition 103 (1):147-162.
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  • All Together Now: Concurrent Learning of Multiple Structures in an Artificial Language.Alexa R. Romberg & Jenny R. Saffran - 2013 - Cognitive Science 37 (7):1290-1320.
    Natural languages contain many layers of sequential structure, from the distribution of phonemes within words to the distribution of phrases within utterances. However, most research modeling language acquisition using artificial languages has focused on only one type of distributional structure at a time. In two experiments, we investigated adult learning of an artificial language that contains dependencies between both adjacent and non-adjacent words. We found that learners rapidly acquired both types of regularities and that the strength of the adjacent statistics (...)
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  • Language learning in infancy: Does the empirical evidence support a domain specific language acquisition device?Christina Behme & Helene Deacon - 2008 - Philosophical Psychology 21 (5):641 – 671.
    Poverty of the Stimulus Arguments have convinced many linguists and philosophers of language that a domain specific language acquisition device (LAD) is necessary to account for language learning. Here we review empirical evidence that casts doubt on the necessity of this domain specific device. We suggest that more attention needs to be paid to the early stages of language acquisition. Many seemingly innate language-related abilities have to be learned over the course of several months. Further, the language input contains rich (...)
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  • Perception of Lexical Neutral Tone Among Adults and Infants.Shanshan Fan, Aijun Li & Ao Chen - 2018 - Frontiers in Psychology 9.
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  • How the Size of Our Social Network Influences Our Semantic Skills.Shiri Lev-Ari - 2016 - Cognitive Science 40 (8):2050-2064.
    People differ in the size of their social network, and thus in the properties of the linguistic input they receive. This article examines whether differences in social network size influence individuals’ linguistic skills in their native language, focusing on global comprehension of evaluative language. Study 1 exploits the natural variation in social network size and shows that individuals with larger social networks are better at understanding the valence of restaurant reviews. Study 2 manipulated social network size by randomly assigning participants (...)
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  • Distributional learning has immediate and long-lasting effects.Paola Escudero & Daniel Williams - 2014 - Cognition 133 (2):408-413.
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  • Biased generalization of newly learned phonological alternations by 12-month-old infants.James White & Megha Sundara - 2014 - Cognition 133 (1):85-90.
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  • Perceiving speech rhythm in music: Listeners classify instrumental songs according to language of origin.Erin E. Hannon - 2009 - Cognition 111 (3):403-409.
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  • (1 other version)Perception of speech reflects optimal use of probabilistic speech cues.Robert A. Jacobs Meghan Clayards, Michael K. Tanenhaus, Richard N. Aslin - 2008 - Cognition 108 (3):804.
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  • (1 other version)Why Are There Developmental Stages in Language Learning? A Developmental Robotics Model of Language Development.Anthony F. Morse & Angelo Cangelosi - 2017 - Cognitive Science 41 (S1):32-51.
    Most theories of learning would predict a gradual acquisition and refinement of skills as learning progresses, and while some highlight exponential growth, this fails to explain why natural cognitive development typically progresses in stages. Models that do span multiple developmental stages typically have parameters to “switch” between stages. We argue that by taking an embodied view, the interaction between learning mechanisms, the resulting behavior of the agent, and the opportunities for learning that the environment provides can account for the stage‐wise (...)
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  • Acquiring Complex Communicative Systems: Statistical Learning of Language and Emotion.Ashley L. Ruba, Seth D. Pollak & Jenny R. Saffran - 2022 - Topics in Cognitive Science 14 (3):432-450.
    In this article, we consider infants’ acquisition of foundational aspects of language and emotion through the lens of statistical learning. By taking a comparative developmental approach, we highlight ways in which the learning problems presented by input from these two rich communicative domains are both similar and different. Our goal is to encourage other scholars to consider multiple domains of human experience when developing theories in developmental cognitive science.
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  • The learnability consequences of Zipfian distributions in language.Ori Lavi-Rotbain & Inbal Arnon - 2022 - Cognition 223 (C):105038.
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  • A distributional perspective on the gavagai problem in early word learning.Richard N. Aslin & Alice F. Wang - 2021 - Cognition 213 (C):104680.
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  • Stem similarity modulates infants' acquisition of phonological alternations.Megha Sundara, James White, Yun Jung Kim & Adam J. Chong - 2021 - Cognition 209 (C):104573.
    Phonemes have variant pronunciations depending on context. For instance, in American English, the [t] in pat [pæt] and the [d] in pad [pæd] are both realized with a tap [ɾ] when the –ing suffix is attached, [pæɾɪŋ]. We show that despite greater distributional and acoustic support for the [t]-tap alternation, 12-month-olds successfully relate taps to stems with a perceptually-similar final [d], not the dissimilar final-[t]. Thus, distributional learning of phonological alternations is constrained by infants' preference for the alternation of perceptually-similar (...)
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  • (1 other version)Speech segmentation by statistical learning depends on attention.Juan M. Toro, Scott Sinnett & Salvador Soto-Faraco - 2005 - Cognition 97 (2):B25-B34.
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  • When global structure “Explains Away” local grammar: A Bayesian account of rule-induction in tone sequences.Colin Dawson & LouAnn Gerken - 2011 - Cognition 120 (3):350-359.
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