0 votes

Simple question (famous last words??).

How you you know if a Key Term’s rendering is no longer in use in the text? Is there a way to do this without manually have to check all the renderings?

For example, a project I support decided that a diacritic was needed to help readers. Some renderings had already been added in the Key Terms list that did not have the diacritic. As a result, they are now longer matching now that the text has been changed. There are other cases where a new rendering has slowly replaced another one and both are in the key terms list. This means that it doesn’t show that a rendering is missing.

So, is there a way to find unused renderings automatically?

Thanks,

Paratext by (155 points)

2 Answers

0 votes
Best answer

This is a legitimate need. Especially were renderings involve wildcards, or we have multiple words or multiple renderings for single a Biblical term. Because the possible combinations becomes too complex for a human to glean. So, it would be nice if the checking tool could be enhanced to allow for this kind of culling – especially for an on-going project – because how one renders something evolves and refines over time, and it would be helpful to be able to get a list of unused renderings to see if which need to be culled out.

by (363 points)
0 votes

I am not aware of any way to automatically find unused renderings. You would need to review each term.

by (8.3k points)

If you hover the mouse pointer over the renderings area (in the biblical terms tool) it should (briefly) bring up a tool tip showing all the renderings that WERE found. That should help identify those that are missing in the text (and can be safely deleted from the list of possible renderings).
If the tool tip doesn’t appear for long enough to be useful, then use PrintScreen to grab an image and paste it in an image editor!
Mark

If the term is actually not being used anywhere but once was, then Use the Wordlist tool and activate the option to show words that no longer occur in the text. This will not work of course if the word appears in the text else where just not for the relevant key term.

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