Identifying Passive Clause Patterns Based on Self-Organizing Maps
The aim of the current article is to lay the foundations for thedevelopment of a descriptive model capable of differentiating several configurationsembodied by passive clauses formed with auxiliary verb ser (to be) + past participleof the main verb in specific interaction contexts, based on using th...
Na minha lista:
| Principais autores: | , |
|---|---|
| Formato: | Online |
| Idioma: | por |
| Publicado em: |
UFRN
|
| Endereço do item: | https://periodicos.ufrn.br/odisseia/article/view/32258 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
| Resumo: | The aim of the current article is to lay the foundations for thedevelopment of a descriptive model capable of differentiating several configurationsembodied by passive clauses formed with auxiliary verb ser (to be) + past participleof the main verb in specific interaction contexts, based on using the Neural Networkof Self-Organizing Maps (SOM Network). All 220 constitutive clauses forming theherein analyzed corpus were allocated by the SOM Network in 46 neurons, whichrepresent different samples of passive clauses, by concomitantly taking intoconsideration the classes of all eight parameters selected in the current research.These 46 samples reflect variations in the grammatical and pragmatic-discursiveconfigurations of passive clauses, in a quite thorough manner, by taking intoconsideration the theoretical apparatus of Systemic-Functional Grammar. Thedefinition of the optimal number of groups allowed us to deduce data from threeimportant groupings that have portrayed the major meanings elicited by the analyzedpassive clauses within the scope of all 102 analyzed journalistic news. |
|---|