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Erin Conwell; Jesse Snedeker – Language Learning and Development, 2024
Natural languages contain systematic relationships between verb meaning and verb argument structure. Artificial language learning studies typically remove those relationships and instead pair verb meanings randomly with structures. Adult participants in such studies can detect statistical regularities associated with words in these languages and…
Descriptors: Semantics, Cues, Verbs, Adults
Dionysia Saratsli – ProQuest LLC, 2022
It is often assumed that cross-linguistically more prevalent distinctions are easier to learn potentially due to their conceptual naturalness. Prior work supports this hypothesis in phonology, morphology and syntax but has not addressed semantics. This work aims to unravel the potential factors that contribute to the learnability and the…
Descriptors: Semantics, Grammar, English, Artificial Languages
Lubera, Amber – ProQuest LLC, 2023
This dissertation presents four iterative experiments which explore the quantitative benefits of introducing linguistics to language learners. Previous work has connected exploration of linguistic with improved morale and engagement in language classrooms, as well as reduced language discrimination and validation of students' languages and…
Descriptors: Second Language Learning, Second Language Instruction, Learner Engagement, Linguistics
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García-Gámez, Ana B.; Macizo, Pedro – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
We compared 2 learning methods for the acquisition of vocabulary in a second language (L2). In addition, the use of the new L2 words was evaluated both in isolation and within sentences. In the semantic method, L2 words and pictures denoting their meanings were presented and participants learned by practicing a semantic categorization task (to…
Descriptors: Second Language Learning, Vocabulary Development, Sentences, Semantics
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Poletiek, Fenna H.; Monaghan, Padraic; van de Velde, Maartje; Bocanegra, Bruno R. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Language is infinitely productive because syntax defines dependencies between grammatical categories of words and constituents, so there is interchangeability of these words and constituents within syntactic structures. Previous laboratory-based studies of language learning have shown that complex language structures like hierarchical center…
Descriptors: Semantics, Syntax, Grammar, Generalization
Miyata, Munehiko – ProQuest LLC, 2011
This dissertation presents results from a series of experiments investigating adult learning of an artificial language and the effects that input frequency (high vs. low token frequency), frequency distribution (skewed vs. balanced), presentation mode (structured vs. scrambled), and first language (English vs. Japanese) have on such learning.…
Descriptors: Adult Learning, Semantics, Native Speakers, Artificial Languages
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Gough, John – Australian Senior Mathematics Journal, 2007
Mathematics is an "artificial" deliberately constructed language, supported crucially by: (1) special alpha-numeric characters and usages; (2) extra-special non-alphanumeric symbols; (3) special written formats within a single line, such as superscripts and subscripts; (4) grouping along a line, including bracketing using round brackets,…
Descriptors: Geometric Concepts, Symbols (Mathematics), Artificial Languages, Mathematics Instruction