To combine is to divide
Evidence of the noun-verb distinction at the morphemic level in compound nouns
Datos Bibliográficos
| ID | 4095006 |
|---|---|
| Autores | Quansheng Xia (0000-0002-7712-5384), Tianlin Wang (0000-0001-7555-7389), Jin Wang (0009-0007-2219-6293), Ziyan Meng, Miao Yu (0000-0002-7625-6315) |
| Año | 2022 |
| Volumen | 271 |
| Páginas | 103239 |
| Fecha de publicación | 2022-05-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Lingua (JOURNAL) |
| Identificadores de la revista | ISSN: 0024-3841 • E-ISSN: 1872-6135 |
| Editorial | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.lingua.2021.103239 |
| OpenAlex | W4206984621 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 74 |
Context (archaeology · Linguistics · Morpheme · Natural language processing · Noun · Verb · Computer Science · History · Mathematics · Neurobiology of Language and Bilingualism · Philosophy · Psychology · Reading and Literacy Development · Syntax, Semantics, Linguistic Variation · Artificial Intelligence
Singulars and Plurals in Dutch
Levels of phonological awareness in three cultures
The Representation of Verbs
Power Analysis and Effect Size in Mixed Effects Models
Understanding normal and impaired word reading
The role of semantic transparency in the processing and representation of Dutch compounds
Lexical storage and retrieval of polymorphemic and polysyllabic words
“Cloze Procedure”
Phonology, reading acquisition, and dyslexia
Nouns and verbs in the brain
Morphological Processing as We Know It
Regular morphology and the lexicon
Lexical access and inflectional morphology
A distributed, developmental model of word recognition and naming.
Fitting Linear Mixed-Effects Models Using lme4
A comparison of the transition from first words to grammar in English and Italian
Neural Distinction between Chinese Nouns and Verbs in the Grammatical Context
Linguistic categorization
Nouns and verbs in the brain
Nouns and Verbs
Noun and Verb in Universal Grammar
| Obras citantes distintas | 1 |
|---|---|
| Citas por año | 1 |
| Intervalo de citas | 2025 - 2025 (1) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 1 |