Towards a decision support system for reading ancient documents

Roued-Cunliffe, Henriette

doi:10.1093/llc/fqq020

Cited by 8 publications

(3 citation statements)

References 6 publications

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“…The strategy fits well with models of visual search [104] and information seeking [102]. In-depth user studies and theoretical models of papyrological reading strategies implemented in expert systems are discussed in [56,155,176,177].…”

Section: Strategiesmentioning

confidence: 71%

Personalizing image enhancement for critical visual tasks: improved legibility of papyri using color processing and visual illusions

Atanasiu

Marthot-Santaniello

2021

IJDAR

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This article develops theoretical, algorithmic, perceptual, and interaction aspects of script legibility enhancement in the visible light spectrum for the purpose of scholarly editing of papyri texts. Novel legibility enhancement algorithms based on color processing and visual illusions are compared to classic methods in a user experience experiment. (1) The proposed methods outperformed the comparison methods. (2) Users exhibited a broad behavioral spectrum, under the influence of factors such as personality and social conditioning, tasks and application domains, expertise level and image quality, and affordances of software, hardware, and interfaces. No single enhancement method satisfied all factor configurations. Therefore, it is suggested to offer users a broad choice of methods to facilitate personalization, contextualization, and complementarity. (3) A distinction is made between casual and critical vision on the basis of signal ambiguity and error consequences. The criteria of a paradigm for enhancing images for critical applications comprise: interpreting images skeptically; approaching enhancement as a system problem; considering all image structures as potential information; and making uncertainty and alternative interpretations explicit, both visually and numerically.

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Section: Strategiesmentioning

confidence: 71%

Personalizing image enhancement for critical visual tasks: improved legibility of papyri using color processing and visual illusions

Atanasiu

Marthot-Santaniello

2021

IJDAR

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“…The authors demonstrate the effectiveness of their solution on a database containing the considerable epigraphical corpus of wall graffiti and dipinti of Pompeii. Another example is DUGA, a Web information system that facilitates the interpretative process of damaged ancient documents [Roued-Cunliffe 2010]. The main motivations for the development of DUGA are the complexity of the reading process and the difficulty to record and recall how the final interpretation of the document was reached, as well as which competing hypotheses were presented, adopted, or discarded in the process of reading.…”

Section: Related Work and Backgroundmentioning

confidence: 99%

Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome

Pio

Fumarola

Felle

et al. 2014

J. Comput. Cult. Herit.

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StudyingGreek and Latin cultural heritage has always been considered essential to the understanding of important aspects of the roots of current European societies. However, only a small fraction of the total production of texts from ancient Greece and Rome has survived up to the present, leaving many gaps in the historiographic records. Epigraphy, which is the study of inscriptions (epigraphs), helps to fill these gaps. In particular, the goal of epigraphy is to clarify the meanings of epigraphs; to classify their uses according to their dating and cultural contexts; and to study aspects of the writing, the writers, and their "consumers." Although several research projects have recently been promoted for digitally storing and retrieving data and metadata about epigraphs, there has actually been no attempt to apply data mining technologies to discover previously unknown cultural aspects. In this context, we propose to exploit the temporal dimension associated with epigraphs (dating) by applying a data mining method for novelty detection. The main goal is to discover relational novelty patterns-that is, patterns expressed as logical clauses describing significant variations (in frequency) over the different epochs, in terms of relevant features such as language, writing style, and material. As a case study, we considered the set of Inscriptiones Christianae Vrbis Romae stored in Epigraphic Database Bari, an epigraphic repository. Some patterns discovered by the data mining method were easily deciphered by experts since they captured relevant cultural changes, whereas others disclosed unexpected variations, which might be used to formulate new questions, thus expanding the research opportunities in the field of epigraphy.

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“…AI has been trained in different projects to aid researchers to process and interpret texts in Latin and Greek. Examples include APELLO (Roued-Cunliffe, 2010) and EAGLE (Amato et al ., 2016) aimed at identifying letter-cutters in Athenian inscriptions (Panagopoulos et al ., 2009; Tracy et al ., 2007), an attempt to decrypt Mycenaean Linear B and the Ugaritic script (Luo et al ., 2019), or even to partially or totally restore words and sentences through pattern recognition (Assael et al ., 2020; Ross, 2023). In addition, archaeological research has implemented several algorithms that have enabled programs to learn to identify settlement patterns, buildings and artifacts discovered through telematic prospections and drone flights (Argyrou and Agapiou, 2022; Berganzo-Besga et al ., 2021; Caspari and Crespo, 2019; Davis et al ., 2021; Orengo and Garcia-Molsosa, 2019).…”

Section: Introductionmentioning

confidence: 99%

Use of Open Access AI in teaching classical antiquity. A methodological proposal

Díaz-Sánchez,

Chapinal-Heras

2023

J. of Class. Teach.

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The aim of this contribution is to present an innovative approach to the use of Open Access AI in teaching the Classical era at high school and university level. The paper first explains the growing interest in AI technology and its main applications in the subjects of philology, history and other related areas. The following sections show the different steps of the proposal, which uses the Midjourney program, as well as its pros and cons.

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Towards a decision support system for reading ancient documents

Cited by 8 publications

References 6 publications

Personalizing image enhancement for critical visual tasks: improved legibility of papyri using color processing and visual illusions

Personalizing image enhancement for critical visual tasks: improved legibility of papyri using color processing and visual illusions

Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome

Use of Open Access AI in teaching classical antiquity. A methodological proposal

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