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21 de may. de 2024 · Computer scientists and electronic literature authors tested out the use of different types of algorithms, ranging from linguistic statistic-based systems that use n-grams to generate lines that are probabilistically coherent, to story generation systems based on narratological structures, to systems that model the interaction of ...
4 de may. de 2024 · Revamping IIIF.link. A few years ago, I had developed a small application that allowed you to "frame" a specific part of an IIIF image and share it on the web through simple, concise URLs. But the initial version was rudimentary and only supported IIIF 2, I've since revamped it using the latest release of the TIFY viewer.
Hace 1 día · Literature is any collection of written work, but it is also used more narrowly for writings specifically considered to be an art form, especially novels, plays, and poems, and including both print and digital writing. In recent centuries, the definition has expanded to include oral literature, much of which has been transcribed. Literature is a method of recording, preserving, and ...
13 de may. de 2024 · DETAIL: The Time Machine, H. G. Wells’s first novel after teaching science and writing science journalism for several years, is a “scientific romance” that inverts the nineteenth-century belief in evolution as progress.
20 de may. de 2024 · Recent advancements in machine translation (MT) have significantly enhanced translation quality across various domains. However, the translation of literary texts remains a formidable challenge due to their complex language, figurative expressions, and cultural nuances. In this work, we introduce a novel multi-agent framework based on large language models (LLMs) for literary translation ...
22 de may. de 2024 · The term ‘English literature’ refers to the body of written works produced in the English language by inhabitants of the British Isles from the 7th century to the present, ranging from drama, poetry, and fiction to autobiography and historical writing.
Hace 3 días · Machine translation (MT) has made impressive progress in recent years, driven by breakthroughs in deep learning and neural networks. However, the challenge of literary translations for MT systems is difficult to solve. Literary texts, known for their complex language, figurative expressions, cultural variations, and unique feature styles, create problems that are hard for machines to overcome ...
