A Deep Learning Approach to Ancient Egyptian Hieroglyphs Classification

Nowadays, advances in Artificial Intelligence (AI), especially in machine and deep learning, present new opportunities to build tools that support the work of specialists in areas apparently far from the information technology field. One example of such areas is that of ancient Egyptian hieroglyphic writing. In this study, we explore the ability of different convolutional neural networks (CNNs) to classify pictures of ancient Egyptian hieroglyphs coming from two different datasets of images. Three well-known CNN architectures (ResNet-50, Inception-v3 and Xception) were taken into consideration and trained on the available images. The paradigm of transfer learning was tested as well. In addition, modifying the architecture of one of the previous networks, we developed a specifically dedicated CNN, named Glyphnet, tailoring its complexity to our classification task. Performance comparison tests were carried out and Glyphnet showed the best performances with respect to the other CNNs. In conclusion, this work shows how the ancient Egyptian hieroglyphs identification task can be supported by the deep learning paradigm, laying the foundation for information tools supporting automatic documents recognition, classification and, most importantly, the language translation task

After the Hittites: The Kingdoms of Karkamish and Palistin in Northern Syria

The disappearance and weakening of the Late Bronze Age territorial empires in the Eastern Mediterranean shortly after 1200 BC is traditionally held to be followed by a so-called Dark Age of around 300 years, characterized by a lack of written sources. However, new sources are appearing, mainly in the medium of Hieroglyphic Luwian inscriptions, which help us to understand events and, more importantly, political and geographical power constellations during the period. The new sources are briefly situated within the framework of the current debates, with special regard given to the territories of Karkamish and Palistin. Emphasis is laid on the apparent continuation of local idioms for the articulation of power, largely persisting from the Hittite Empire, in spite of any changes in population, social structure, or political institutions that may have occurred

The Design and Implementation of AIDA: Ancient Inscription Database and Analytics System

AIDA, the Ancient Inscription Database and Analytic system can be used to translate and analyze ancient Minoan language. The AIDA system currently stores three types of ancient Minoan inscriptions: Linear A, Cretan Hieroglyph and Phaistos Disk inscriptions. In addition, AIDA provides candidate syllabic values and translations of Minoan words and inscriptions into English. The AIDA system allows the users to change these candidate phonetic assignments to the Linear A, Cretan Hieroglyph and Phaistos symbols. Hence the AIDA system provides for various scholars not only a convenient online resource to browse Minoan inscriptions but also provides an analysis tool to explore various options of phonetic assignments and their implications. Such explorations can aid in the decipherment of Minoan inscriptions. Adviser: Peter Z. Reves

Any papyrus about "a hand over a stool and a bread loaf, followed by a boat"? Dealing with hieroglyphic texts in IR

We would like to thank Dr. Josep Cervell ́o Autuori, Director of the Institut d’Estudis del Pr`oxim Orient Antic (IEPOA) of the Universitat Aut`onoma de Barcelona for introducing us to the Ancient Egyptian language and acting as our fictional client. We would also like to thank Dr. Serge Rosmorduc, Associate of the Conservatoire National des Arts et M ́etiers (CNAM) for all his support when working with JSesh.[Abstract] Digital Heritage deals with the use of computing and information technologies for the preservation and study of the human cultural legacy. Within this context, we present here a Text Retrieval system developed specifically to work with Egyptian hieroglyphic texts for its use by Egyptologists and Linguists in the study and preservation of Ancient Egyptian scripts. We intend to make it freely available to the Egyptology research community. To the best of our knowledge this is the first tool of its kind.Ministerio de Economía y Competitividad; FFI2014-51978-C2-2-

The Social and Cultural Contexts of Historic Writing Practices

Writing is not just a set of systems for transcribing language and communicating meaning, but an important element of human practice, deeply embedded in the cultures where it is present and fundamentally interconnected with all other aspects of human life. The Social and Cultural Contexts of Historic Writing Practices explores these relationships in a number of different cultural contexts and from a range of disciplinary perspectives, including archaeological, anthropological and linguistic. It offers new ways of approaching the study of writing and integrating it into wider debates and discussions about culture, history and archaeology

How the Aleph-Bet Got Its Shape

This thesis follows my earlier work on Aurignacian rock art by drawing a clear line between cave painting in the south of France and the holiest Hebrew script Ktav Ivrit or STA"M. This is an in depth study detailing relationships between Language, Mysticism and Kabbalah, as well as Religious Dogma that answers the question, "Why do all religions and languages seem to rhyme ?" Presented in a Carlo Ginzburg Evidentiary Paradigm

Dr. Beringer's Lügensteine and the semiotic dilemma of 'natural hieroglyphs' in eighteenth-century natural philosophy and visual practices

http://www.ester.ee/record=b4429374~S1*es

Analyzing Ancient Maya Glyph Collections with Contextual Shape Descriptors

This paper presents an original approach for shape-based analysis of ancient Maya hieroglyphs based on an interdisciplinary collaboration between computer vision and archeology. Our work is guided by realistic needs of archaeologists and scholars who critically need support for search and retrieval tasks in large Maya imagery collections. Our paper has three main contributions. First, we introduce an overview of our interdisciplinary approach towards the improvement of the documentation, analysis, and preservation of Maya pictographic data. Second, we present an objective evaluation of the performance of two state-of-the-art shape-based contextual descriptors (Shape Context and Generalized Shape Context) in retrieval tasks, using two datasets of syllabic Maya glyphs. Based on the identification of their limitations, we propose a new shape descriptor named Histogram of Orientation Shape Context (HOOSC), which is more robust and suitable for description of Maya hieroglyphs. Third, we present what to our knowledge constitutes the first automatic analysis of visual variability of syllabic glyphs along historical periods and across geographic regions of the ancient Maya world via the HOOSCdescriptor. Overall, our approach is promising, as it improves performance on the retrieval task, has been successfully validated under an epigraphic viewpoint, and has the potential of offering both novel insights in archeology and practical solutions for real daily scholar need