Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Language Processing | 3 |
Linguistic Theory | 3 |
Indo European Languages | 2 |
Language Acquisition | 2 |
Language Usage | 2 |
Models | 2 |
Attribution Theory | 1 |
Child Language | 1 |
Generalization | 1 |
German | 1 |
Grammar | 1 |
More ▼ |
Author
Christiansen, Morten H. | 3 |
Allen, Joseph | 1 |
Højen, Anders | 1 |
MacDonald, Maryellen C. | 1 |
Seidenberg, Mark S. | 1 |
Trecca, Fabio | 1 |
Tylén, Kristian | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 2 |
Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Trecca, Fabio; Tylén, Kristian; Højen, Anders; Christiansen, Morten H. – Language Learning, 2021
It is often assumed that all languages are fundamentally the same. This assumption has been challenged by research in linguistic typology and language evolution, but questions of language learning and use have largely been left aside. Here we review recent work on Danish that provides new insights into these questions. Unlike closely related…
Descriptors: Language Processing, Indo European Languages, Language Classification, Phonetics
Christiansen, Morten H.; MacDonald, Maryellen C. – Language Learning, 2009
Most current approaches to linguistic structure suggest that language is recursive, that recursion is a fundamental property of grammar, and that independent performance constraints limit recursive abilities that would otherwise be infinite. This article presents a usage-based perspective on recursive sentence processing, in which recursion is…
Descriptors: Sentences, Language Processing, Language Usage, Grammar

Christiansen, Morten H.; Allen, Joseph; Seidenberg, Mark S. – Language and Cognitive Processes, 1998
Describes a connectionist model, using a simple recurrent network trained on a phoneme prediction task, that accounts for the child's ability to identify word boundaries. The model shows that aspects of linguistic structure that are not overtly marked in the input can be derived by efficiently combining multiple probabilistic cues. (Author/MSE)
Descriptors: Child Language, Language Acquisition, Language Processing, Language Research