Complexity of grammatical metaphor

An Entropy-Based Approach

Datos Bibliográficos

ID4474205
AutoresJiangping Zhou (0000-0002-1623-5002, China West Normal University , Nanchong , China, autor de correspondencia)
Año2023
Volumen2023
Número252
Páginas173-185
Fecha de publicación2023-07-26
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSemiotica (JOURNAL)
Identificadores de la revistaISSN: 0037-1998 • E-ISSN: 1613-3692
EditorialWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/sem-2022-0094
OpenAlexW4377823217
IdiomaEN
Citas recibidas4
Referencias citadas20

Grammatical metaphor in M. A. K. Halliday's sense has long been extensively investigated by researchers in terms of theoretical and empirical studies. Regarding the empirical studies, they have predominantly employed observed or normalized frequencies of grammatical metaphor to uncover its distribution in different text types. Few studies, however, were conducted to quantitatively examine the complexity of grammatical metaphor in that no indicator presently is proposed to measure the degree of complexity in grammatical metaphor. This paper targeted at investigating the feasibility of implementing entropy to measure this complexity. The findings demonstrate that the entropy value could be afforded as an indicator of complexity of grammatical metaphor to efficiently uncover the way that disciplines of different registers build knowledge by means of employing such linguistic features as grammatical metaphor. This research is significant in that it sheds light on the quantitative comparison of complexity of grammatical metaphor in text analysis

Entropy (arrow of time) · Grammatical evolution · Linguistics · Metaphor · Natural language processing · Physics · Value (mathematics) · Artificial Intelligence · Computer Science · Discourse Analysis in Language Studies · Language, Metaphor, and Cognition · Linguistics and Discourse Analysis · Philosophy