• Smart Media Journal
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• v.12 no.1
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• pp.32-46
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• 2023

Natural Language Processing (NLP) has grown tremendously in recent years. Typically, bilingual, and multilingual translation models have been deployed widely in machine translation and gained vast attention from the research community. On the contrary, few studies have focused on translating between spoken and sign languages, especially non-English languages. Prior works on Sign Language Translation (SLT) have shown that a mid-level sign gloss representation enhances translation performance. Therefore, this study presents a new large-scale Korean sign language dataset, the Museum-Commentary Korean Sign Gloss (MCKSG) dataset, including 3828 pairs of Korean sentences and their corresponding sign glosses used in Museum-Commentary contexts. In addition, we propose a translation framework based on self-supervised learning, where the pretext task is a text-to-text from a Korean sentence to its back-translation versions, then the pre-trained network will be fine-tuned on the MCKSG dataset. Using self-supervised learning help to overcome the drawback of a shortage of sign language data. Through experimental results, our proposed model outperforms a baseline BERT model by 6.22%.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.189-190
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• 2018

This study produced Portland limestone cement at the rate of limestone substitution by grinding limestone and clinker together, and it conducted an XRD analysis to determine the sign language response structure as a basic study on Portland Limestone Cement. As a result of the XRD analysis, the higher the substitution rate of limestone, the more likely it is that the detection rate of ettringite is decreased. Additionally, we could see that the production volume of Mono-carbonate was increasing.

• Cartoon and Animation Studies
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• s.32
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• pp.141-158
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• 2013

Comics are a genre that convey meaning through compositional arrangements of dialogue and images as well as through the flow of panels across a page. Communicating that meaning to readers through a combination of language and visual lexicons is the essential process of drawing comics, a process that in itself is significant. The semiotics of comics is a field of scholarship grounded in the broader discipline of semiotic theory in which all the components of comics, both visual and verbal, are the subject of study and research. By adopting a semiotic approach we are able to objectively analyze and understand the symbolic, social and ideological meanings embedded in the signs and sign processes expressed in comics. The fundamental pedagogical mission of teaching comics is to cultivate human nature through the study of theory as well as through the production and completion of original works that explore new modes of expression. To go further, interpreting those embedded meanings in the context of comics fosters effective and creative skills of expression that go beyond a mere fascination for the genre itself. In short, because the semiotic approach to understanding visual communication is the essence teaching comics, we can expect that the act of reading and creating comics plays a significant role in understanding visual communication.