STEP Transcriptor: a comprehensive TEI-XML compliant transcription app
André De Tienne
|Title||STEP Transcriptor: a comprehensive TEI-XML compliant transcription app
Encoded by Vanessa Hannesschläger
Encoded by Daniel Schopper
The Creative Commons Attribution 4.0 International (CC BY 4.0) License applies to this text.
STEP Transcriptor is the most advanced of several tools being developed to accompany the creation of the online Scholarly Text Editing Platform, a general solution that provides a complete transcription, editing, annotation, and layout workflow for scholarly editing projects. STEP Transcriptor has been designed and engineered to help transcribers encode complex texts easily while complying with TEI’s manuscript transcription encoding rules. The app (for Mac and Windows) takes care of nearly all of the tedious aspects of TEI encoding. It provides five distinct encoding methods (via pull-down menus, pop-up menus, function keys, keyboard shortcuts, and specialized tagging cursors) that help insert tags, attributes, and values accurately while minimizing typing. Several specialized widgets automatically take care of especially complex encoding situations (including nested alterations and transpositions). STEP Transcriptor automatically creates lists of well-described alterations. It also provides a separate field to enter all sorts of descriptive tags, separately from transcriptive tags. Everything about the app is customizable: the content of menus, the selection of TEI tags, attributes, and values, even tag colors. The software can be used to start transcriptions from scratch or to improve existing transcriptions, all of which can be imported or exported in a variety of file formats. It can be used independently of the STEP platform. A key objective is to help editorial projects train and retain transcribers by providing them with a sophisticated tool that is reliable and easy to use. The tool helps flatten TEI’s learning curve while producing correctly encoded transcriptions. It provides multiple views of the texts, rendered or not rendered, encoded with or without anchors. The demonstration will focus on the core functionalities of the application.