Pictorial syntax

Datos Bibliográficos

ID21501892
AutoresKevin J Lande (0000-0002-9543-7787, Department of Philosophy York University Toronto Ontario Canada, autor de correspondencia)
Año2024
Volumen39
Número4
Páginas518-539
Fecha de publicación2024-09-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaMind & Language (JOURNAL)
Identificadores de la revistaISSN: 0268-1064 • E-ISSN: 1468-0017
EditorialWiley (PUBLISHER • GB)
DOI10.1111/mila.12497
OpenAlexW4390502415
IdiomaEN
Citas recibidas5
Referencias citadas42

It is commonly assumed that images, whether in the world or in the head, do not have a privileged analysis into constituent parts. They are thought to lack the sort of syntactic structure necessary for representing complex contents and entering into sophisticated patterns of inference. I reject this assumption. “Image grammars” are models in computer vision that articulate systematic principles governing the form and content of images. These models are empirically credible and can be construed as literal grammars for images. Images can have rich syntactic structure, though of a markedly different form than sentences in language

Inference · Information retrieval · Linguistics · Natural language processing · Parsing · Programming language · Rule-based machine translation · sort · Syntactic structure · Syntax · Categorization, perception, and language · Computer Science · Image Retrieval and Classification Techniques · Philosophy · Visual Attention and Saliency Detection · Artificial Intelligence