Publication: Un estudio traductológico del sentimiento en
los informes financieros español/inglés: las
emociones en la economía desde la perspectiva
del Análisis del Sentimiento y la Teoría de la
Valoración
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Date
2020-10-27
Authors
Orts Llopis, María Ángeles
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Publisher
Universidad de Granada
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DOI
https://doi.org/10.30827/sendebar.v31i0.11817
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info:eu-repo/semantics/article
Description
© 2020 Universidad de Granada. This manuscript version is made available under the CC-BY-NC 4.0 license http://creativecommons.org/licenses/by-nc/4.0/
This document is the Published version of a Published Work that appeared in final form in Sendebar. To access the final edited and published work see https://doi.org/10.30827/sendebar.v31i0.11817
Abstract
Esta investigación explora el léxico emocional en un corpus paralelo de informes financieros en español y su traducción al inglés. En primer lugar, se realizó una revisión general de las frecuencias léxicas, seguida de un procesamiento del corpus con el software Lingmotif de Análisis del Sentimiento (SA) para diagnosticar la intensidad y polaridad emotiva en los textos. Finalmente, los ítems cargados de emoción de ambas versiones se clasificaron dentro del marco de la Teoría de la Valoración (AT), con el fin de catalogar con mayor precisión los elementos de polaridad positiva y negativa. En general, nuestros resultados muestran cómo la intensidad y polaridad de los sentimientos se conservan generalmente tanto en el TO como en TM, mientras que la forma en que se expresan varía de una versión a otra por razones funcionales. -------------------------
This study explores emotion-laden items in a corpus of financial reports in Spanish and their English translations. Firstly, an analysis of lexical frequencies was carried out, followed by processing through Lingmotif SA software to diagnose sentiment intensity and polarity in the source and target texts. Finally, the emotion-laden items in both versions were classified within the framework of Appraisal Theory, to further organize positive and negative items into categories. Overall, our results show how sentiment intensity and polarity are generally maintained in both versions, whereas the way in which these are expressed varíes in each version for functional reasons.
This study explores emotion-laden items in a corpus of financial reports in Spanish and their English translations. Firstly, an analysis of lexical frequencies was carried out, followed by processing through Lingmotif SA software to diagnose sentiment intensity and polarity in the source and target texts. Finally, the emotion-laden items in both versions were classified within the framework of Appraisal Theory, to further organize positive and negative items into categories. Overall, our results show how sentiment intensity and polarity are generally maintained in both versions, whereas the way in which these are expressed varíes in each version for functional reasons.
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Citation
Sendebar, 2020, Vol. 31, pp. 395-417
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Este ítem está sujeto a una licencia Creative Commons. http://creativecommons.org/licenses/by-nc/4.0/