Mark Allon and Ian McCrabb at Sydney Uni, together with Andrew Glass and others, have been involved in developing a text system, initially for Gandhari texts, which is called READ (which has to be one of the most comprehensively ungoogleable names ever!) I’m not aware of any live instances of it, I think it is still in development. It will be used as the new back end for Gandhari.org, and probably elsewhere, too. News about the project is found through their blog
But we can keep up with progress here.
Here is a description of the project from current presentations.
READ and READ Workbench together provide an integrated research environment, publishing platform and corpus development framework for ancient Sanskrit and Prakrit texts; a model that can be expanded to other writing systems.
Rationale: The READ project commenced in 2013 with funding from a consortium consisting of the University of Munich (LMU), Germany, the University of Washington (UW), Seattle, the University of Lausanne, Switzerland, the University of Sydney (USYD) and Prakaś Foundation, Sydney. These Universities are all engaged in the study and publication of ancient Buddhist documents preserved in the Gāndhārī language that originate from Afghanistan and Pakistan. Academic lead for the project is Stefan Baums (LMU) and the development team comprises Andrew Glass from Microsoft as software architect, Stephen White (ex Microsoft and USYD) as system developer and Ian McCrabb as analyst/designer and project manager (USYD).
READ is the result of the convergence of two streams; the work of Baums and Glass on gandhari.org and data modelling undertaken in support of McCrabb’s PhD dissertation at USYD. The project brief for READ was to develop a comprehensive research environment and publishing platform to support the transcription, translation and analysis of ancient Sanskrit and Prakrit texts: manuscripts, inscriptions, coins and other documents. A critical element of the brief was that READ be based on open source software, support the TEI standard and provide an API for integration with related systems.
READ is complementary to existing textual repositories and integrated with existing dictionaries. Whatever format existing transcriptions were developed in these can be consumed, elaborated upon, analyzed, and then published as research output in TEI. The data remains open source and can be exported as a full XML archive. In summary, READ has been designed to function as:
- a linked repository of images, transcriptions, translations, metadata, and annotations;
- a content management system encompassing multi-user editing, maintenance and version control;
- a collaboration platform with comprehensive access and visibility control;
- a research environment with access to a dictionary, catalog of texts, glossaries and bibliographies;
- a publishing platform for individual transcription renditions or full scholarly editions;
- the kernel of an integrated research network interfacing with GIS, data visualization and image analysis systems.