Automatically building translation memories for subtitling - Pérez Rojas, Katherin
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The aim of this research is to develop a method to automatically build translation memories to be used in the subtitling task. The inputs to create the corpus are the novels the audiovisual material is based on. The methodology includes the automatic identification and extraction of dialogues, and their alignment for the purpose of building a translation memory for subtitling. The aligned bi-texts will serve as translation memories to be employed in the translation of films based on these novels.

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Produktbeschreibung
The aim of this research is to develop a method to automatically build translation memories to be used in the subtitling task. The inputs to create the corpus are the novels the audiovisual material is based on. The methodology includes the automatic identification and extraction of dialogues, and their alignment for the purpose of building a translation memory for subtitling. The aligned bi-texts will serve as translation memories to be employed in the translation of films based on these novels.
Autorenporträt
Katherin Pérez obtained her Master degree in Natural Language Processing in 2013. Since then she has worked in different projects aimed at enhancing subtitling tools with translation memories and machine translation engines. She works with the Research Group in Computational Linguistics from the University of Wolverhampton.