We present a number of concrete applications of our software platform in the context of the Archimedes Project. First, this platform has proven invaluable in the basic work involved in building up a digital collection that now amounts to some 110 MB of text and 30 GB of associated images. For example, with the aid of the automatic morphological analysis provided by Donatus and the term annotation facilities of Arboreal, a user can easily highlight all words in a document that cannot be analyzed by the Donatus system, allowing for both the speedy correction of typographical errors and the improvement of our morphological datasets. Second, Arboreal's ability to apply arbitrary XSLT transformations allows us to create a range of derived files of immediate scholarly value from a single source text. Third, Arboreal has been extensively used in conjunction with external editing environments to produce scholarly metadata, in particular for the alignment and linking of parallel sections of different XML texts. Fourth, Arboreal's term annotation and editing facilities provide support for scholars attempting to produce consistent translations of source texts. Finally, we have taken preliminary steps towards integrating into our framework sophisticated NLP techniques for the discovery of technical terminology and establishing metrics for assessing the utility of these techniques.
A number of cooperating projects and institutions are also currently using components of our software platform. These include the Cuneiform Digital Library Initiative (CDLI),8 the project Gli anni della cupola 1417-1436: Archivio digitale delle fonti dell'Opera di Santa Maria del Fiore (The Administrative Archives of the Cathedral of Florence),9 European Cultural Heritage Online (ECHO),10 and the Digital Sanskrit Library at Brown University.11 Feedback from these projects has demonstrated the broad range of application of our tools and allowed us to create additional enhancements.