Developing linguistic literacy
Perspectives from corpus linguistics and multi-dimensional analysis
Dados Bibliográficos
| ID | 20366294 |
|---|---|
| Autores | Douglas Biber (0000-0002-7024-505X, Northern Arizona University), Randi Reppen (0000-0001-5657-9195, Northern Arizona University), Susan Conrad (0009-0001-1811-7878, Northern Arizona University) |
| Ano | 2002 |
| Volume | 29 |
| Fascículo | 2 |
| Páginas | 449-488 |
| Data de publicação | 2002-05-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Journal of Child Language (JOURNAL) |
| Identificadores do periódico | ISSN: 0305-0009 • E-ISSN: 1469-7602 |
| Editora | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0305000902235345 |
| PMID | 12109381 |
| OpenAlex | W2136704456 |
| Idioma | EN |
| Citações recebidas | 5 |
| Referências citadas | 1 |
In their conceptual framework for linguistic literacy development, Ravid & Tolchinsky synthesize research studies from several perspectives. One of these is corpus-based research, which has been used for several large-scale research studies of spoken and written registers over the past 20 years. In this approach, a large, principled collection of natural texts (a ‘corpus’) is analysed using computational and interactive techniques, to identify the salient linguistic characteristics of each register or text variety. Three characteristics of corpus-based analysis are particularly important (see Biber, Conrad & Reppen 1998): [bull ] a special concern for the representativeness of the text sample being analysed, and for the generalizability of findings; [bull ] overt recognition of the interactions among linguistic features: the ways in which features co-occur and alternate; [bull ] a focus on register as the most important parameter of linguistic variation: strong patterns of use in one register often represent only weak patterns in other registers
Computational linguistics · Corpus linguistics · Generalizability theory · Linguistics · Literacy · Natural language processing · Representativeness heuristic · Salient · Written language · Computer Science · Linguistic Variation and Morphology · Multilingual Education and Policy · Natural Language Processing Techniques · Psychology · Artificial Intelligence
| Obras citantes distintas | 5 |
|---|---|
| Citações por ano | 0,23 |
| Intervalo de citações | 2004 - 2026 (23) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 4 |