¿Es el discurso académico preciso cuando se apoya en la traducción automática?

  1. Caro Quintana, Rocío 1
  2. Bellés-Calvera, Lucía 2
  1. 1 University of Wolverhampton
    info

    University of Wolverhampton

    Wolverhampton, Reino Unido

    ROR https://ror.org/01k2y1055

  2. 2 Universitat Jaume I
    info

    Universitat Jaume I

    Castelló de la Plana, España

    ROR https://ror.org/02ws1xc11

Revista:
Quaderns de filología. Estudis lingüístics

ISSN: 1135-416X

Año de publicación: 2022

Título del ejemplar: La traducción y las nuevas tecnologías en la era digital: aplicaciones, recursos y metodologías

Número: 27

Páginas: 171-201

Tipo: Artículo

DOI: 10.7203/QF.0.24671 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Quaderns de filología. Estudis lingüístics

Objetivos de desarrollo sostenible

Resumen

El discurs acadèmic ha despertat interès entre investigadors i professors (Deroey, 2015; Mauranen, 2012; Hyland, 2010), en particular l'ús de marcadors metadiscursius. Tot i això, s'ha prestat poca atenció a aquestes característiques recolzades per la Traducció Automàtica (TA) en els contextos d'AICLE. L'objectiu del present article és descriure l'ús i la freqüència dels emfatitzadors i els atenuadors emprats en els àmbits de la història i la psicologia i analitzar la precisió dels equivalents obtinguts en dues plataformes de TA, en concret, DeepL i Google Translate. Per això, s'ha elaborat un petit corpus de dos seminaris i s'han aplicat mètodes qualitatius i quantitatius per determinar la freqüència i precisió dels recursos lingüístics sota estudi. Els resultats han revelat que, si bé els elements interaccionals proporcionats per la TA són precisos, es poden produir omissions i errors de traducció. Aquestes conclusions poden ser rellevants per als professors d'AICLE interessats en el discurs acadèmic, així com per als investigadors de traducció que treballen amb corpus bilingües i multilingües i avaluen l'exactitud de les eines de traducció.

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Fuente de los datos: Dialnet