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Desarrollo de un Traductor Automático de Manga/Manhwa desde Japonés/Coreano a inglés utilizando Large Language Models (LLM)

Authors: Benali Bendahmane, Isslam;

Desarrollo de un Traductor Automático de Manga/Manhwa desde Japonés/Coreano a inglés utilizando Large Language Models (LLM)

Abstract

El objetivo es desarrollar un traductor automático para textos de manga (japonés) y manhwa (coreano) al inglés, usando LLMs preentrenados o realizando aprendizaje por transferencia. Se abordarán desafíos específicos de traducción de cómics, como el manejo del contexto visual y textual, y la adaptación cultural de los diálogos, empleando técnicas avanzadas de PLN y Deep Learning para mejorar la precisión y coherencia de las traducciones, integrando la comprensión visual para mejorar la fidelidad.

Keywords

coreano, sentence parsing, traductor automático, reconocimiento de texto, text recognition, Manhwa, automatic translator, Modelos de Lenguaje Grande (LLMs), supervised learning, tokenization, Large Language Models(LLMs), computer vision, tokenización, entrenamiento de modelos, Natural language processing (Computer science), modelos de lenguaje, reconocimiento óptico de caracteres (OCR), language models, Tractament del llenguatge natural (Informàtica), image segmentation, multilingual models, segmentación de imágenes, optical character recognition (OCR), Visió per ordinador, japanese, aprendizaje supervisado, japonés, modelos multilingües, korean, Reconeixement òptic de caràcters, Manga, model training, análisis de oraciones, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes, Computer vision, visión por computadora, Optical character recognition

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green