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Title: La traducción automática en la literatura: creación de un corpus paralelo inglés-español para entrenar y evaluar un sistema neuronal en el marco del proyecto MTUOC
Author: Moreno Pons, Leonor
Tutor: Rodríguez Vázquez, Silvia  
Abstract: Recent and relevant technological advances have consolidated machine translation as an important player in different types of translation services. In the literary context, however, the use of machine translation raises reluctance due to the special features of literary texts which are so far placed in a quite unexplored terrain for technological innovation in machine translation. In recent years, in order to get over the gap between machine translation and literature, attention has been paid to research on the creation of specific machine systems of literary translation. With an eye on previous research and the support of the open source tools and programs of the MTUOC project, this work focuses on the creation of a parallel corpora of literary content aimed at training a neural machine translation engine to translate fictional texts. The procedure has not been without difficulties and obstacles which have allowed us to identify the specific problems of a literary based-corpus, such as the insufficient precision of automatic alignment techniques to guarantee optimal engine performance. The study ends with a comparative automatic metrics evaluation between our trained engine and a general and powerful system such as Google Translate. In spite of the problems, the metrics show similar and perfectly comparable results between both systems. In addition, possible lines of further research are described to overcome the difficulties and achieve better results that build confidence in machine translation as a useful tool in literary translation.
Keywords: machine translation engine training
automatic evaluation
literary translation
aligned parallel corpora
Document type: info:eu-repo/semantics/masterThesis
Issue Date: Jun-2022
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