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Do, Youngah; Mooney, Shannon – Journal of Child Language, 2022
This article examines whether children alter a variable phonological pattern in an artificial language towards a phonetically-natural form. We address acquisition of a variable rounding harmony pattern through the use of two artificial languages; one with dominant harmony pattern, and another with dominant non-harmony pattern. Overall, children…
Descriptors: Language Variation, Vowels, Phonology, Learning Processes
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Gao, Jianwu; Ma, Shuang – Studies in Second Language Acquisition, 2021
This study explored the interaction between learning conditions, linguistic complexity, and first language (L1) syntactic transfer in semiartificial grammar learning by conceptually replicating and extending Tagarelli et al. (2016). We changed the L1 background, elicited production data during debriefing, and added a binary mixed-effects logistic…
Descriptors: Language Acquisition, Difficulty Level, Syntax, Artificial Languages
Fowlie, Meaghan – ProQuest LLC, 2017
Adjuncts and arguments exhibit different syntactic behaviours, but modelling this difference in minimalist syntax is challenging: on the one hand, adjuncts differ from arguments in that they are optional, transparent, and iterable, but on the other hand they are often strictly ordered, reflecting the kind of strict selection seen in argument…
Descriptors: Persuasive Discourse, Syntax, Form Classes (Languages), Language Research
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Frost, Rebecca L. A.; Monaghan, Padraic; Christiansen, Morten H. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
High frequency words have been suggested to benefit both speech segmentation and grammatical categorization of the words around them. Despite utilizing similar information, these tasks are usually investigated separately in studies examining learning. We determined whether including high frequency words in continuous speech could support…
Descriptors: Word Frequency, Speech Communication, Task Analysis, Language Tests
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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
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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
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Sakas, William Gregory; Fodor, Janet Dean – Language Acquisition: A Journal of Developmental Linguistics, 2012
We present data from an artificial language domain that suggest new contributions to the theory of syntactic triggers. Whether a learning algorithm is capable of matching the achievements of child learners depends in part on how much parametric ambiguity there is in the input. For practical reasons this cannot be established for the domain of all…
Descriptors: Ambiguity (Semantics), Artificial Languages, Language Acquisition, Linguistic Theory
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Rebuschat, Patrick; Williams, John N. – Applied Psycholinguistics, 2012
Language development is frequently characterized as a process where learning proceeds implicitly, that is, incidentally and in absence of awareness of what was learned. This article reports the results of two experiments that investigated whether second language acquisition can also result in implicit knowledge. Adult learners were trained on an…
Descriptors: Learning Processes, Language Acquisition, Second Languages, Language Tests
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Onnis, Luca; Waterfall, Heidi R.; Edelman, Shimon – Cognition, 2008
Variation set structure--partial overlap of successive utterances in child-directed speech--has been shown to correlate with progress in children's acquisition of syntax. We demonstrate the benefits of variation set structure directly: in miniature artificial languages, arranging a certain proportion of utterances in a training corpus in variation…
Descriptors: Cues, Syntax, Artificial Languages, Language Acquisition
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De Diego-Balaguer, R.; Couette, M.; Dolbeau, G.; Durr, A.; Youssov, K.; Bachoud-Levi, A.-C. – Brain, 2008
Although the role of the striatum in language processing is still largely unclear, a number of recent proposals have outlined its specific contribution. Different studies report evidence converging to a picture where the striatum may be involved in those aspects of rule-application requiring non-automatized behaviour. This is the main…
Descriptors: Artificial Languages, Diseases, Patients, Short Term Memory
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Grunow, Hope; Spaulding, Tammie J.; Gomez, Rebecca L.; Plante, Elena – Journal of Communication Disorders, 2006
Non-adjacent dependencies characterize numerous features of English syntax, including certain verb tense structures and subject-verb agreement. This study utilized an artificial language paradigm to examine the contribution of item variability to the learning of these types of dependencies. Adult subjects with and without language-based learning…
Descriptors: Adults, Learning Disabilities, Word Order, Artificial Languages
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Monaghan, P.; Chater, N.; Christiansen, M.H. – Cognition, 2005
Recognising the grammatical categories of words is a necessary skill for the acquisition of syntax and for on-line sentence processing. The syntactic and semantic context of the word contribute as cues for grammatical category assignment, but phonological cues, too, have been implicated as important sources of information. The value of…
Descriptors: Syntax, Semantics, Cues, Artificial Languages
Morgan, James L.; Newport, Elissa L. – Journal of Verbal Learning and Verbal Behavior, 1981
Describes an experiment where subjects were exposed to a sample of sentences from an artificial linguistic system and tested on their knowledge of the linear and hierarchical structures of the language. Suggests that learners succeed in inducing coherent grammatical systems only when input provides enough correlated cues to constituent…
Descriptors: Artificial Languages, Experimental Psychology, Grammar, Language Acquisition