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Chen, Zhong; Hale, John T. – Cognitive Science, 2021
Information-theoretic complexity metrics, such as Surprisal (Hale, 2001; Levy, 2008) and Entropy Reduction (Hale, 2003), are linking hypotheses that bridge theorized expectations about sentences and observed processing difficulty in comprehension. These expectations can be viewed as syntactic derivations constrained by a grammar. However, this…
Descriptors: Sentences, Language Processing, Phrase Structure, Nouns
Shin, Gyu-Ho – Cognitive Science, 2021
It has long been believed across languages that the "Agent-First" strategy, a comprehension heuristic that maps the first noun onto the agent role, is a general cognitive bias which applies automatically and faithfully to children's comprehension. The present study asks how this strategy interplays with such grammatical cues as the…
Descriptors: Korean, Acoustics, Grammar, Nouns
Wang, Wentao; Vong, Wai Keen; Kim, Najoung; Lake, Brenden M. – Cognitive Science, 2023
Neural network models have recently made striking progress in natural language processing, but they are typically trained on orders of magnitude more language input than children receive. What can these neural networks, which are primarily distributional learners, learn from a naturalistic subset of a single child's experience? We examine this…
Descriptors: Brain Hemisphere Functions, Linguistic Input, Longitudinal Studies, Self Concept
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
Smith, Garrett; Franck, Julie; Tabor, Whitney – Cognitive Science, 2018
We present a self-organizing approach to sentence processing that sheds new light on notional plurality effects in agreement attraction, using pseudopartitive subject noun phrases (e.g., "a bottle of pills"). We first show that notional plurality ratings (numerosity judgments for subject noun phrases) predict verb agreement choices in…
Descriptors: Sentence Structure, Sentences, Grammar, Form Classes (Languages)
Gagliardi, Annie; Feldman, Naomi H.; Lidz, Jeffrey – Cognitive Science, 2017
Children acquiring languages with noun classes (grammatical gender) have ample statistical information available that characterizes the distribution of nouns into these classes, but their use of this information to classify novel nouns differs from the predictions made by an optimal Bayesian classifier. We use rational analysis to investigate the…
Descriptors: Children, Statistics, Learning, Bayesian Statistics
Theakston, Anna L.; Ibbotson, Paul; Freudenthal, Daniel; Lieven, Elena V. M.; Tomasello, Michael – Cognitive Science, 2015
Productivity is a central concept in the study of language and language acquisition. As a test case for exploring the notion of productivity, we focus on the noun slots of verb frames, such as __"want"__, __"see"__, and __"get"__. We develop a novel combination of measures designed to assess both the flexibility and…
Descriptors: Nouns, Verbs, Creativity, Semantics
Saalbach, Henrik; Imai, Mutsumi; Schalk, Lennart – Cognitive Science, 2012
In German, nouns are assigned to one of the three gender classes. For most animal names, however, the assignment is independent of the referent's biological sex. We examined whether German-speaking children understand this independence of grammar from semantics or whether they assume that grammatical gender is mapped onto biological sex when…
Descriptors: Grammar, Semantics, Animals, Speech Communication