Nominal Group Grammar

System and Structure

Dados Bibliográficos

ID5138490
AutoresJ R Martins (0000-0002-8463-4849, The University of Sydney, autor correspondente), J R Martin (The University of Sydney), Y J Doran (0000-0002-3611-5702, The University of Sydney), Dongbing Zhang (0000-0003-4295-2555, University of International Business and Economics)
Ano2021
Volume67
Fascículo3
Páginas248-280
Data de publicação2021-07-03
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoWORD (JOURNAL)
Identificadores do periódicoISSN: 0043-7956 • E-ISSN: 2373-5112
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00437956.2021.1957545
OpenAlexW3210741467
IdiomaEN
Citações recebidas11
Referências citadas29

In this introductory paper for this series of special issues, we review the development of nominal group description in SFL – focusing on its syntagmatic and paradigmatic modeling, and stepping through a number of the principles that underpin SFL description more broadly. We then explore a number of issues that have arisen in relation to nominal groups as more languages have been described in SFL, such as how to deal with structural markers that have typically been left aside in explicit SFL modeling, and how to reconcile logical and experiential perspectives on the nominal group. As part of this, the paper proposes analyses aimed at extending SFL again – in particular suggesting a clearer division of labor between the word rank and the group rank, and proposing a type of structure called 'subjacency' for non-iterative dependency structures. Our aim is to further promote SFL as an evolving model of language and to encourage researchers to further develop SFL descriptions of languages around the world

Aside · Dependency (UML · Grammar · Group (periodic table · Linguistics · Natural language processing · Nominal group · Rank (graph theory · Syntagmatic analysis · Word (group theory · Artificial Intelligence · Computer Science · Discourse Analysis in Language Studies · Linguistic Variation and Morphology · Mathematics · Natural Language Processing Techniques · Theoretical Computer Science