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2 articles for “semantic compression”
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Linguistic Minimalism in Digital Communication: The Shrinking of Language in Hyper-Speed Communication Environments
Abstract: The digital revolution has fundamentally transformed linguistic practices, precipitating what we term "linguistic minimalism"—the systematic reduction of language to essential semantic components in hyper-speed communication environments. This research examines how contemporary digital platforms have catalyzed a contraction in linguistic expression through abbreviations, semantic compression, emoji symbolism, and strategic silence. Drawing on discourse analysis, pragmatics, and social semiotics, this study explores four interconnected dimensions: emojis and GIFs as primary meaning carriers, …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 1, 2026 Read article
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Deep Plate: A Deep Learning Approach to Recipe Generation from Food Images
Abstract: In the deep learning era, image understanding is advancing in sophistication, encompassing both semantic interpretation and the generation of meaningful image descriptions. To achieve this, deep neural networks must undergo specific cross-model training; these networks must be both simple enough to handle a wide range of inputs and complex enough to encode the fine contextual information associated with the image. An appropriate example of the previously described picture comprehension problem …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article