The Leverage Expert can be configured to suit your specific requirements. For example, you may want to Leverage from a TM but ignore all the co-ordinate information. Alternatively, you may only wish to Leverage translations from the same objects types to improve the quality of your translation re-use. You use this tab to specify these options.

image33.gif Setting Software Specific Options

image33.gif Setting Generic Leverage Options

image33.gif Setting Advanced Options

Fuzzy Match

Alchemy CATALYST generally searches for exact matches. Fuzzy matching is a technique used to find data that is similar rather than identical to the search argument. Alchemy CATALYST uses the fuzzy match technique to search the translation memory for matches that are similar as well as matches that are identical to the search text.

In practise, this means that the current source segment is matched against those already present in the translation memory. Alchemy CATALYST calculates the degree of similarity between the current source segment and matching source segments from the translation memory. The degree of similarity is expressed as a percentage value. The segment with the highest match value (a 100% match value indicates an identical match) is selected as best match. Other less similar matches are presented as well. You can paste any of the suggested matches into your translation. Differences between the current source segment and fuzzy matches from the translation memory are highlighted in colour codes, making it easier to edit the matches you choose.

Alchemy CATALYST allows you to set the percentage fuzzy match value to a minimum acceptable level. Segments from the translation memory must achieve this value before they can qualify as fuzzy matches. All segments below this minimum value are treated as no match segments.