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This volume presents the state of the art in digital scholarly editing. Drawing together the work of established and emerging researchers, it gives pause at a crucial moment in the history of technology in order to offer a sustained reflection on the ...
Desenclos, Camille +19 more
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Scholarly communication in networked environment: problems and prospects [PDF]
This article gives an overview of how popularity of World Wide Web and open access concepts challenge the existence of traditional scholarly communication.
Vimal Kumar, V.
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Annotations in Scholarly Editions and Research
The notion of annotation is associated in the Humanities and Information Sciences with different concepts that vary in coverage, application and direction of impact, but have conceptual parallels as well. This publication reflects on different practices and associated concepts of annotation, puts them in relation to each other and attempts to ...
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Digital Humanities. Metodi, strumenti, saperi, edited by Fabio Ciotti, Roma, Carocci, 2023
The volume Digital Humanities. Metodi, strumenti, saperi edited by Fabio Ciotti provides a comprehensive overview of the Digital Humanities (DH) field, with a specific focus on the Italian context.
Bianca Vallarano
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Post-editing machine translated text in a commercial setting: Observation and statistical analysis [PDF]
Machine translation systems, when they are used in a commercial context for publishing purposes, are usually used in combination with human post-editing.
Tatsumi, Midori
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In the early 2020s, Artificial Intelligence became extremely popular. Due to new technology, more processes from various fields are subject to automation every day.
Joanna Hałaczkiewicz
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How can we build new multilingual futures for academic journals in the age of electronic publishing? The answer may lie in the multilingual pasts of scholarly publishing.
Roopika Risam
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Zastosowanie sztucznej inteligencji w edytorstwie naukowym – przykład Moraliów Wacława Potockiego
In the early 2020s, Artificial Intelligence has become extremely popular. Due to new technology, more processes from various fields are subject to automation every day.
Joanna Hałaczkiewicz
doaj
In the last decade, big textual datasets in the humanities have become increasingly more available in the form of raw data. The challenges these datasets raise are twofold. On the one hand, most humanities scholars are not equipped with skills in text and data mining. This remains a barrier to study big data in the humanities.
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