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We introduce a formal approach to document and text analysis. The method proposed herein results in a mathematical and physical model/framework which can formalize different challenges in research fields such as computational linguistics, digital philology, and software engineering, principally if applied to document and text analysis. We examine texts and documents from an evolutionary perspective, where both corruption and correction are involved. We describe document evolution via fiber bundles formalism.

In this paper we present ongoing research carried out at the Institute for Computational Linguistics "A. Zampolli" (ILC) in Pisa. The institute has been active since many years in the field of Digital Humanities providing resources, tools and solutions to address issues of the to digital humanists. Starting from those previous initiatives, we show how to re-engineer them as Web Services in order to make connections between lexicons, semantic resources and a fine grained text management. Linked Open Data is chosen as the paradigm used to link the different resources as well as the modality of data presentation.

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.

Computer processing of written Arabic raises a number of challenges to traditional parsing architectures on many levels of linguistic analysis. In this contribution, we review some of these core issues and the demands they make, to suggest different strategies to successfully tackle them. In the end, we assess these issues in connection with the behaviour of neuro-biologically inspired lexical architectures known as Temporal Self-Organising Maps. We show that, far from being language-specific problems, issues in Arabic processing can shed light on some fundamental characteristics of the human language processor, such as structure-based lexical recoding, concurrent, competitive activation of output candidates and dynamic selection of optimal solutions.

This contribution aims to describe the methodological approach to Digital Philology by means of the G&A Web Application. It also shows running examples for the: 1) Visualization and ordering of parallel texts subdivided in pericopes; 2) Linguistic annotations; 3) Scholarly comments; and 4)Search functions

The objective of this research is to provide an improved automated computational tool to study aphasic production. Using the speech production of Italian aphasic patients, the present study demonstrates the possibility of applying an integrated algorithm to automatically assess and generate error patterns typical of aphasic speech. Philological studies and aphasia studies share one common point: errors (or variants) are informative, and the intention of the authors (in the case of philology) or of the patients (in the case of aphasiology) is to be established. For this precise reason, the present study adapts a tool, originally used in computational philology for the alignment of textual variants (Boschetti, 2007, 2008), and puts it to use for assessing aphasic patient's speech error patterns. As is demonstrated, this tool is effective and analytical. The authors expect this to be beneficial for the use of analysing aphasic production in both clinical and academic settings.