Opis

• Tytuł:
  Approach to the analysis of general nouns and their encapsulating function in scientific discourse
• Twórca:
  Bień, Janusz
• Opis:
  This study investigates a lexical type of Spanish nouns that are characterized by a high degree of genericity and a great condensing capacity, features that can convert them into textual cohesion resources, frequently used in many specific discourses. The condensing function of general nouns, consisting in encapsulating a predicative content, can be reinforced by some desired discursive effect on the part of the author who can impose to the reader a particular assessment of the facts described in the text. Our goal is to measure the contribution of nominal encapsulators to the cohesion of scientific texts and their specific discursive character, supposedly objective and depersonalized. Starting from its six semantic classes proposed by Schmid (2000), we subject to an empirical analysis our manual corpus composed of texts from various scientific disciplines, in order to establish some variables: distribution of the encapsulators in the generic subtypes of the corpus and in all parts of the text.
• Dostępność obiektu:
  Dostęp otwarty
• Prawa: http://creativecommons.org/licenses/by-nc-sa/4.0 ;
  Prawa autorskie (c) 2023 Janusz Bień
• Data:
  2023.11.16
• Typ:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion;
  Artykuł naukowy
• Język:
  hiszpański
• Źródło:
  Studia Romanica Posnaniensia; Vol. 50 No. 3 (2023): Aplicaciones de la lingüística española; 19-30;
  Studia Romanica Posnaniensia; Tom 50 Nr 3 (2023): Aplicaciones de la lingüística española; 19-30;
  2084-4158;
  0137-2475
• Format:
  application/pdf
• Wydawca:
  Adam Mickiewicz University Poznan
• Relacja: http://pressto.amu.edu.pl/index.php/srp/article/view/40110/33767
• Temat i słowa kluczowe:
  general nouns;
  nominal encapsulation;
  scientific discourse;
  lexical cohesion;
  predicative condensation
• Identyfikator: http://pressto.amu.edu.pl/index.php/srp/article/view/40110
• Dostawca danych:
  Platforma Otwartych Czasopism Naukowych UAM
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