Processing Continuous Speech in Infancy
Dados Bibliográficos
| ID | 19064458 |
|---|---|
| Autores | Jeffrey Lidz (0000-0001-8829-1495), Louise Goyet (0009-0005-4909-1964, autor correspondente), Séverine Millotte, Anne Christophe, Anne‐caroline Fiévet (0000-0001-7695-7528), Thierry Nazzi (0000-0002-4378-3661) |
| Editores | Jeffrey L Lidz, William Snyder, Joe Pater (0000-0002-4784-3799) |
| Ano | 2016 |
| Páginas | 960 |
| Data de publicação | 2016-11-02 |
| Open Access | Não |
| Tipo | BOOK |
| Periódico | Oxford Handbook of Developmental Linguistics (SOURCE_BOOK) |
| Editora | Oxford University Press (PUBLISHER • GB) |
| DOI | 10.1093/oxfordhb/9780199601264.013.8 |
| OpenAlex | W2565182434 |
| Open Library | OL28579345M |
| ISBN | 9780199601264 |
| Idioma | EN |
| Citações recebidas | 1 |
The present chapter focuses on fluent speech segmentation abilities in early language development. We first review studies exploring the early use of major prosodic boundary cues which allow infants to cut full utterances into smaller-sized sequences like clauses or phrases. We then summarize studies showing that word segmentation abilities emerge around 8 months, and rely on infants’ processing of various bottom-up word boundary cues and top-down known word recognition cues. Given that most of these cues are specific to the language infants are acquiring, we emphasize how the development of these abilities varies cross-linguistically, and explore their developmental origin. In particular, we focus on two cues that might allow bootstrapping of these abilities: transitional probabilities and rhythmic units
Cognitive psychology · Developmental psychology · Language development · Linguistics · Natural language processing · Segmentation · Speech recognition · Speech segmentation · Text segmentation · Computer Science · Language Development and Disorders · Psychology · Language acquisition · Artificial Intelligence
| Obras citantes distintas | 1 |
|---|---|
| Citações por ano | 1 |
| Intervalo de citações | 2025 - 2025 (1) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 1 |