Willis Monrow
This tool volition allow you lot practice PDFs based on selected texts from the ORACC corpora. At the 2nd it's quite basic, it only loads the text information from the projects private text JSON files. Some projects accept cuneiform signs included, unopen to accept normalization, unopen to exclusively accept transliteration. Right right away the tool is non smart plenty to enjoin you lot what's available earlier it generates the PDF.
This tool tin terminate move used to practice PDFs of texts for classroom use, or personal written report in addition to reading. All texts are credited according to the information inwards the ORACC JSON file. The full general workflow is every bit follows:This tool was created yesteryear Willis Monroe, in addition to I'd move grateful for whatever feedback. Is at that spot a item corpus or text that breaks the PDF output? Is at that spot an additional needed option? Could the workflow move improved?
- Select a corpus to load. This volition download in addition to unzip the corpus file from the ORACC Github repository inwards the background in addition to populate a listing of texts from that archive.
- Select 1 or to a greater extent than texts to include inwards your PDF. It tin terminate move useful hither to role your webbrowser's detect characteristic (usually Ctrl-F or Command-F) to search for texts. When you've selected the texts you lot want, scroll to the bottom of the listing in addition to hitting "Submit".
- Select the options for the PDF: page size, in addition to which lines from the text to include (cuneiform, transliteration, normalization). Press "Generate PDF" in addition to aspect for the download push to croak active.
Send whatever issues/queries/improvements my way, either yesteryear e-mail, or yesteryear using Github's issue tracker.
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