Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 6 |
Descriptor
Artificial Languages | 6 |
Language Processing | 6 |
Grammar | 5 |
Second Language Learning | 4 |
Memory | 2 |
Morphology (Languages) | 2 |
Nouns | 2 |
Priming | 2 |
Syntax | 2 |
Bilingualism | 1 |
Brain Hemisphere Functions | 1 |
More ▼ |
Source
Language Learning | 6 |
Author
Publication Type
Journal Articles | 6 |
Reports - Research | 5 |
Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Bovolenta, Giulia; Williams, John N. – Language Learning, 2023
Second language implicit learning research has shown that a variety of linguistic features can be acquired without awareness. However, this research overwhelmingly uses comprehension tests to measure implicit learning. It remains unclear whether newly acquired implicit knowledge can also be recruited for production. To address this question, we…
Descriptors: Second Language Learning, Second Language Instruction, Cues, Recall (Psychology)
Walker, Neil; Monaghan, Padraic; Schoetensack, Christine; Rebuschat, Patrick – Language Learning, 2020
Learning language requires acquiring the grammatical categories of words in the language, but learning those categories requires understanding the role of words in the syntax. In this study, we examined how this chicken and egg problem is resolved by learners of an artificial language comprising nouns, verbs, adjectives, and case markers following…
Descriptors: Syntax, Grammar, Vocabulary Development, Nouns
Muylle, Merel; Bernolet, Sarah; Hartsuiker, Robert J. – Language Learning, 2020
Several studies found cross-linguistic structural priming with various language combinations. Here, we investigated the role of two important domains of language variation: case marking and word order, for transitive and ditransitive structures. We varied these features in an artificial language learning paradigm, using three different artificial…
Descriptors: Bilingualism, Priming, Language Processing, Language Variation
Weber, Kirsten; Christiansen, Morten H.; Indefrey, Peter; Hagoort, Peter – Language Learning, 2019
New linguistic information must be integrated into our existing language system. Using a novel experimental task that incorporates a syntactic priming paradigm into artificial language learning, we investigated how new grammatical regularities and words are learned. This innovation allowed us to control the language input the learner received,…
Descriptors: Syntax, Second Language Learning, Task Analysis, Priming
Morgan-Short, Kara; Sanz, Cristina; Steinhauer, Karsten; Ullman, Michael T. – Language Learning, 2010
This study employed an artificial language learning paradigm together with a combined behavioral/event-related potential (ERP) approach to examine the neurocognition of the processing of gender agreement, an aspect of inflectional morphology that is problematic in adult second language (L2) learning. Subjects learned to speak and comprehend an…
Descriptors: Nouns, Morphology (Languages), Second Language Learning, Artificial Languages
Mueller, Jutta L. – Language Learning, 2006
The present chapter bridges two lines of neurocognitive research, which are, despite being related, usually discussed separately from each other. The two fields, second language (L2) sentence comprehension and artificial grammar processing, both depend on the successful learning of complex sequential structures. The comparison of the two research…
Descriptors: Language Processing, Reading Comprehension, Second Language Learning, Models