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Messenger, Katherine – Cognitive Science, 2021
The implicit learning account of syntactic priming proposes that the same mechanism underlies syntactic priming and language development, providing a link between a child and adult language processing. The present experiment tested predictions of this account by comparing the persistence of syntactic priming effects in children and adults.…
Descriptors: Priming, Adults, Syntax, Preschool Children
Hawkins, Robert D.; Frank, Michael C.; Goodman, Noah D. – Cognitive Science, 2020
The language we use over the course of conversation changes as we establish common ground and learn what our partner finds meaningful. Here we draw upon recent advances in natural language processing to provide a finer-grained characterization of the dynamics of this learning process. We release an open corpus (>15,000 utterances) of extended…
Descriptors: Language Usage, Context Effect, Interpersonal Communication, Interaction
Sakine Çabuk-Balli; Jekaterina Mazara; Aylin C. Küntay; Birgit Hellwig; Barbara B. Pfeiler; Paul Widmer; Sabine Stoll – Cognitive Science, 2025
Negation is a cornerstone of human language and one of the few universals found in all languages. Without negation, neither categorization nor efficient communication would be possible. Languages, however, differ remarkably in how they express negation. It is yet widely unknown how the way negation is marked influences the acquisition process of…
Descriptors: Morphemes, Native Language, Language Acquisition, Infants
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
Ouyang, Long; Boroditsky, Lera; Frank, Michael C. – Cognitive Science, 2017
Computational models have shown that purely statistical knowledge about words' linguistic contexts is sufficient to learn many properties of words, including syntactic and semantic category. For example, models can infer that "postman" and "mailman" are semantically similar because they have quantitatively similar patterns of…
Descriptors: Semiotics, Computational Linguistics, Syntax, Semantics
Fedzechkina, Maryia; Newport, Elissa L.; Jaeger, T. Florian – Cognitive Science, 2017
Across languages of the world, some grammatical patterns have been argued to be more common than expected by chance. These are sometimes referred to as (statistical) "language universals." One such universal is the correlation between constituent order freedom and the presence of a case system in a language. Here, we explore whether this…
Descriptors: Grammar, Diachronic Linguistics, English, Old English
Fine, Alex B.; Jaeger, T. Florian – Cognitive Science, 2013
This study provides evidence for implicit learning in syntactic comprehension. By reanalyzing data from a syntactic priming experiment (Thothathiri & Snedeker, 2008), we find that the error signal associated with a syntactic prime influences comprehenders' subsequent syntactic expectations. This follows directly from error-based implicit learning…
Descriptors: Syntax, Priming, Language Processing, Error Analysis (Language)