The larger a project the more internal fuzzy matches, and the number of segments with a high fuzzy match value can be quite big.

To save time during review it would be great to be able to start the project translating 0% matches that will not later be reused as internal fuzzy matches and then send these to review before reusing them as internal fuzzy matches.

So the process would be like this:

1. Analyse project files using 'Report internal fuzzy match leverage', and assign the fuzzy match percentage to the segments (keeping the segments empty.)

2. Use an advanced filter to filter segments that are untranslated and that doesn't have a value for 'internal fuzzy match leverage' larger than 0. In essense this leaves out the segments that will later become fuzzy macthes.

3. Run review process and implement changes.

4. Translate remaining strings.

This will save a lot of time reviewing the segments with high internal fuzzy matches as the risk of having to correct similar errors is reduced heavily.

I currently work on a project where 50 % of the words are internal fuzzy matches between 85 and 99 matches, and a feature like this would have saved us a lot of time.