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EuporiaRAGT is one of the pilot projects that adopt the Euporia system as a digital support to an historico-anthropological research on the form and function of rituals in the texts of ancient Greek tragedy. This paper describes the bottom-up approach adopted in the project: During the annotation stage, performed with a Domain Specific Language designed with a usercentred approach, the domain expert can annotate ritual and religious phenomena, with the possibility of registering different textual and interpretive variants; the design of a search engine, in a second phase of the work, allows the database to be tested and reorganized. Finally, the construction of an ontology allows to structure the tags, in order to perform complex queries on the database.

This paper documents our campaign to undertake the large-scale optical character recognition of ancient, or polytonic, Greek. Building upon the Gamera OCR engine and developing a suite of post-processing tools, including automatic spellcheck, we processed 1,200 volumes comprising 329,002,271 Greek words. A sample of 10 pages is studied in detail; they demonstrate the degree to which each step of post-processing improved the results, and with which source documents. These pages attain an average character accuracy of about 96%. These results will provide a basis for further improvements, including the training of other open-source OCR engines.

Euporia is an annotation system developed with a user-centred approach for the study of ritual and religion in ancient Greek tragedy. Euporia adopts a domain specific language (DSL) and a lightweight web user interface in order to offer digital support to an anthropological study of ancient Greek tragedy that compares ritual as it is performed or described in Greek tragedy with ancient ritual as it can be reconstructed from literary, archaeological, and epigraphic sources. The case study discussed in this paper (Aesch. Ag. 67–71) shows one of the main features of Euporia: the ability to annotate different readings and different interpretations of the text and their consequences in the reconstruction of ancient Greek ritual.

International audience; We discuss a method to enhance the accuracy of a subset of the Ancient Greek WordNet based on the Homeric lexicon and the related conceptual network, by using multilingual semantic spaces built from aligned corpora. Italiano. Esponiamo un metodo per migliorare l'accuratezza di un sottoinsieme dell' Ancient Greek WordNet, basato sul lessico Omerico e sulla relativa rete concettuale, attraverso l'uso di spazi semantici plurilingui costruiti su corpora paralleli allineati.

This paper describes the process of creation and review of a new lexico-semantic resource for the classical studies: AncientGreekWord- Net. The candidate sets of synonyms (synsets) are extracted from Greek-English dictionaries, on the assumption that Greek words translated by the same English word or phrase have a high probability of being synonyms or at least semantically closely related. The process of validation and the web interface developed to edit and query the resource are described in detail. The lexical coverage of Ancient Greek WordNet is illustrated and the accuracy is evaluated. Finally, scenarios for exploiting the resource are discussed.

Περιέχει το πλήρες κείμενο This paper describes a work-flow designed to populate a digital library of ancient Greek critical editions with highly accurate OCR scanned text. While the most recently available OCR engines are now able after suitable training to deal with the polytonic Greek fonts used in 19th and 20th century editions, further improvements can also be achieved with postprocessing. In particular, the progressive multiple alignment method applied to different OCR outputs based on the same images is discussed in this paper.