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Shang, Nan; Styles, Suzy J. – Cognitive Science, 2023
Previous studies have shown that Chinese speakers and non-Chinese speakers exhibit different patterns of cross-modal congruence for the lexical tones of Mandarin Chinese, depending on which features of the pitch they attend to. But is this pattern of language-specific listening a conscious cultural strategy or an automatic processing effect? If…
Descriptors: Association Measures, Intonation, Mandarin Chinese, Native Language
Cruz Blandón, María Andrea; Cristia, Alejandrina; Räsänen, Okko – Cognitive Science, 2023
Computational models of child language development can help us understand the cognitive underpinnings of the language learning process, which occurs along several linguistic levels at once (e.g., prosodic and phonological). However, in light of the replication crisis, modelers face the challenge of selecting representative and consolidated infant…
Descriptors: Meta Analysis, Infants, Language Acquisition, Computational Linguistics
de Varda, Andrea Gregor; Strapparava, Carlo – Cognitive Science, 2022
The present paper addresses the study of non-arbitrariness in language within a deep learning framework. We present a set of experiments aimed at assessing the pervasiveness of different forms of non-arbitrary phonological patterns across a set of typologically distant languages. Different sequence-processing neural networks are trained in a set…
Descriptors: Learning Processes, Phonology, Language Patterns, Language Classification
Lila San Roque; Elisabeth Norcliffe; Asifa Majid – Cognitive Science, 2024
Words that describe sensory perception give insight into how language mediates human experience, and the acquisition of these words is one way to examine how we learn to categorize and communicate sensation. We examine the differential predictions of the typological prevalence hypothesis and embodiment hypothesis regarding the acquisition of…
Descriptors: English, Verbs, Sensory Experience, Perception
Ercenur Ünal; Kevser Kirbasoglu; Dilay Z. Karadöller; Beyza Sümer; Asli Özyürek – Cognitive Science, 2025
In spoken languages, children acquire locative terms in a cross-linguistically stable order. Terms similar in meaning to in and on emerge earlier than those similar to "front" and "behind," followed by "left" and "right." This order has been attributed to the complexity of the relations expressed by…
Descriptors: Nonverbal Communication, Cognitive Mapping, Spatial Ability, Language Processing
Mansfield, John; Saldana, Carmen; Hurst, Peter; Nordlinger, Rachel; Stoll, Sabine; Bickel, Balthasar; Perfors, Andrew – Cognitive Science, 2022
Inflectional affixes expressing the same grammatical category (e.g., subject agreement) tend to appear in the same morphological position in the word. We hypothesize that this cross-linguistic tendency toward "category clustering" is at least partly the result of a learning bias, which facilitates the transmission of morphology from one…
Descriptors: Morphology (Languages), Morphemes, Grammar, Transfer of Training
Fitch, Allison; Arunachalam, Sudha; Lieberman, Amy M. – Cognitive Science, 2021
Across languages, children map words to meaning with great efficiency, despite a seemingly unconstrained space of potential mappings. The literature on how children do this is primarily limited to spoken language. This leaves a gap in our understanding of sign language acquisition, because several of the hypothesized mechanisms that children use…
Descriptors: American Sign Language, Language Acquisition, Simulation, Cues
Ito, Chiyuki; Feldman, Naomi H. – Cognitive Science, 2022
Iterated learning models of language evolution have typically been used to study the emergence of language, rather than historical language change. We use iterated learning models to investigate historical change in the accent classes of two Korean dialects. Simulations reveal that many of the patterns of historical change can be explained as…
Descriptors: Diachronic Linguistics, Sociolinguistics, Comparative Analysis, Models
Stanojevic, Miloš; Brennan, Jonathan R.; Dunagan, Donald; Steedman, Mark; Hale, John T. – Cognitive Science, 2023
To model behavioral and neural correlates of language comprehension in naturalistic environments, researchers have turned to broad-coverage tools from natural-language processing and machine learning. Where syntactic structure is explicitly modeled, prior work has relied predominantly on context-free grammars (CFGs), yet such formalisms are not…
Descriptors: Correlation, Language Processing, Brain Hemisphere Functions, Natural Language Processing
Trott, Sean; Jones, Cameron; Chang, Tyler; Michaelov, James; Bergen, Benjamin – Cognitive Science, 2023
Humans can attribute beliefs to others. However, it is unknown to what extent this ability results from an innate biological endowment or from experience accrued through child development, particularly exposure to language describing others' mental states. We test the viability of the language exposure hypothesis by assessing whether models…
Descriptors: Models, Language Processing, Beliefs, Child Development
Paape, Dario; Avetisyan, Serine; Lago, Sol; Vasishth, Shravan – Cognitive Science, 2021
We present computational modeling results based on a self-paced reading study investigating number attraction effects in Eastern Armenian. We implement three novel computational models of agreement attraction in a Bayesian framework and compare their predictive fit to the data using k-fold cross-validation. We find that our data are better…
Descriptors: Computational Linguistics, Indo European Languages, Grammar, Bayesian Statistics
Brandt, Silke; Hargreaves, Stephanie; Theakston, Anna – Cognitive Science, 2023
A key factor that affects whether and at what age children can demonstrate an understanding of false belief and complement-clause constructions is the type of task used (whether it is implicit/indirect or explicit/direct). In the current study, we investigate, in an implicit/indirect way, whether children understand that a story character's belief…
Descriptors: Beliefs, Phrase Structure, Cognitive Ability, Child Development
Perniss, Pamela; Vinson, David; Vigliocco, Gabriella – Cognitive Science, 2020
Successful face-to-face communication involves multiple channels, notably hand gestures in addition to speech for spoken language, and mouth patterns in addition to manual signs for sign language. In four experiments, we assess the extent to which comprehenders of British Sign Language (BSL) and English rely, respectively, on cues from the hands…
Descriptors: Sign Language, Speech Communication, English, Cues
Jolsvai, Hajnal; McCauley, Stewart M.; Christiansen, Morten H. – Cognitive Science, 2020
Whereas a growing bulk of work has demonstrated that both adults and children are sensitive to frequently occurring word sequences, little is known about the potential role of meaning in the processing of such multiword chunks. Here, we take a first step toward assessing the contribution of meaningfulness in the processing of multiword sequences,…
Descriptors: Phrase Structure, Language Processing, Prediction, Decision Making
Lacey, Simon; Jamal, Yaseen; List, Sara M.; McCormick, Kelly; Sathian, K.; Nygaard, Lynne C. – Cognitive Science, 2020
Sound symbolism refers to non-arbitrary mappings between the sounds of words and their meanings and is often studied by pairing auditory pseudowords such as "maluma" and "takete" with rounded and pointed visual shapes, respectively. However, it is unclear what auditory properties of pseudowords contribute to their perception as…
Descriptors: Acoustics, Auditory Stimuli, Cognitive Mapping, Definitions