Project aim is to give Open Access to Knowledge hidden in cuneiform texts, sharing with the Assyriological Community Language e-Resources, extracted from collected corpora transliteration (with lemmatization and grammatical tagging).
ENEA TIGRIS V-Lab is now testing some Text Analysis and Mining functionalities on assyriological corpora. The main idea is that of opening access to knowledge hosted in assyriological texts and data, by producing and sharing knowledge extracted from data and research outputs.

CROWDSOURCING TIGRIS e-texts and data collections
ENEA aims at encouraging the enlarging of the pool of volunteer collaborators, with the purposes of receiving and sharing crowdsourced scholarly e-texts and data, to be processed by TalTaC2 software and then to be reviewed by Assyriologists in an iterative process (under CC BY-NC-SA Creative Commons Licence).

JOIN US AND COLLABORATE IN THE TIGRIS V-Lab!!!
Contact: info.tigris@enea.it
HOW TO ASK FOR AN ENEA-GRID ACCOUNT

Collaborations are welcomed: for the delivery of tranlisterated, lemmatized and tagged corpora; for reviewing lexical resources extracted from delivered corpora, before dissemination; for publications of papers, articles and contributions; for suggestions and integrations.
With its ENEA Open Archive, ENEA adheres to the principles of the Open Archives Initiative (OAI), for the Open Access of research outputs. “Open Access is the immediate, online, free availability of research outputs that scholars normally give away for free for publication; it includes peer-reviewed journal articles, conference papers and datasets of various kinds”, according to the EU OpenAire Project.

MULTILINGUAL TEXT MINING
Within the TIGRIS Project the task of Text Mining is performed using TalTaC2 (Automatic Lexical and Textual Processing for the Analysis of Content"). TalTaC2 is a software application of the University of Rome “La Sapienza” for the automatic analysis of texts, according to the logics of Text Analysis (TA) and Text Mining (TM). TalTac2 extracts the vocabulary of the corpus and produces: lists of terms, frequencies, concordances, fusion of the categorized terms by lemmas or by classes of categories (set of verbs/adjectives), reconstruction of the texts with grammatical or semantic categorization of the text, etc.