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...

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Principais autores: Laurett Neves Damasceno, Gesieny, Virginia Rodrigues, Violeta
Formato: Online
Idioma:por
Publicado em: UFRN
Endereço do item:https://periodicos.ufrn.br/odisseia/article/view/32258
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spelling oai:periodicos.ufrn.br:article-322582023-06-23T16:59:32Z Identifying Passive Clause Patterns Based on Self-Organizing Maps Reconhecimento de padrões de orações passivas por meio de Mapas Auto-organizáveis Laurett Neves Damasceno, Gesieny Virginia Rodrigues, Violeta Passive clauses Systemic-Functional Grammar Neural Network of Self-Organizing Maps Orações passivas Gramática Sistêmico-Funcional Rede Neural de Mapas Auto-organizáveis 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. O presente artigo busca lançar as bases para o desenvolvimento de ummodelo descritivo capaz de distinguir, por intermédio da Rede Neural de MapasAuto-organizáveis (Rede SOM), as diversas configurações que as orações passivasformadas com verbo auxiliar ser + particípio passado do verbo principal assumemem contextos específicos de interação. As 220 orações constitutivas do corpusforam alocadas, pela Rede SOM, em 46 neurônios, que representam diferentesexemplares de orações passivas, considerando, concomitantemente, as classes dosoito parâmetros selecionados por esta pesquisa. Esses 46 exemplares refletem, deforma bastante criteriosa, as variações das orações passivas em termos deconfigurações gramatical e pragmático-discursiva, considerando o aparato teórico daGramática Sistêmico-Funcional. A definição do número ótimo de grupos possibilitou,ainda, a depreensão dos dados a partir de, basicamente, três importantesagrupamentos, que retratam os principais significados evocados pelas oraçõespassivas no âmbito das 102 notícias jornalísticas analisadas. UFRN 2023-06-15 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://periodicos.ufrn.br/odisseia/article/view/32258 Odisseia; Vol. 8 No. 1 (2023): Revista Odisseia; 36-56 Revue Odisseia; Vol. 8 No. 1 (2023): Revista Odisseia; 36-56 Revista Odisseia; v. 8 n. 1 (2023): Revista Odisseia; 36-56 1983-2435 10.21680/1983-2435.2023v8n1 por https://periodicos.ufrn.br/odisseia/article/view/32258/17032 Copyright (c) 2023 Revista Odisseia http://creativecommons.org/licenses/by-nc-sa/4.0
institution Periódicos UFRN
collection Portal de Pediódicos Eletrônicos da UFRN
language por
format Online
author Laurett Neves Damasceno, Gesieny
Virginia Rodrigues, Violeta
spellingShingle Laurett Neves Damasceno, Gesieny
Virginia Rodrigues, Violeta
Identifying Passive Clause Patterns Based on Self-Organizing Maps
author_facet Laurett Neves Damasceno, Gesieny
Virginia Rodrigues, Violeta
author_sort Laurett Neves Damasceno, Gesieny
title Identifying Passive Clause Patterns Based on Self-Organizing Maps
title_short Identifying Passive Clause Patterns Based on Self-Organizing Maps
title_full Identifying Passive Clause Patterns Based on Self-Organizing Maps
title_fullStr Identifying Passive Clause Patterns Based on Self-Organizing Maps
title_full_unstemmed Identifying Passive Clause Patterns Based on Self-Organizing Maps
title_sort identifying passive clause patterns based on self-organizing maps
description 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.
publisher UFRN
publishDate 2023
url https://periodicos.ufrn.br/odisseia/article/view/32258
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