Translation Memory Match Calculator
Calculate fuzzy match percentage, edit distance, and translation leverage rate for CAT tool translation memory segments.
About this calculator
Translation memory (TM) tools compare a new source segment against previously translated segments stored in the memory database, and the fuzzy match percentage they report drives both cost and effort estimates for CAT (computer-assisted translation) tool workflows. This calculator reconstructs that comparison from an edit-distance view: you supply how many words in the segment matched a stored TM entry exactly, and how many words were changed through substitutions (a word swapped for a different one, such as a name or number), insertions (new words not in the TM entry), or deletions (words removed from the source relative to the TM entry). Those three edit types sum to an edit distance, which is subtracted from the matched-word count to get an effective match, then divided by the source segment's total word count for the match percentage.
That percentage sorts into the CAT-tool industry's standard match tiers -- 100% is an exact match, 95-99% is high fuzzy, 75-94% is fuzzy, and anything below is treated as no match -- and the Leverage Rate estimates how much of the segment can realistically be reused without full retranslation, discounting each tier differently since a 95% fuzzy match still needs real editing attention even though most of its words are already correct. This is a per-segment estimate for understanding how TM matching works, not a project-wide cost calculator -- real TM analysis reports aggregate match-tier word counts across an entire project.
Inputs
Results
Match Percentage
80%
How to Use This Calculator
- Enter the Source Segment Length (words) for the segment being translated.
- Enter Matched Words — how many words exactly match the closest translation memory entry.
- Enter Substitutions, Insertions, and Deletions — the edit-distance breakdown between the source and the TM entry.
- Review Match Percentage and Match Category to see which fuzzy-match tier the segment falls into.
- Check Leverage Rate for an estimate of how much of the segment can be reused without full retranslation.
How the result changes with Matched Words
| Matched Words | Match Percentage |
|---|---|
| 9 | 35% |
| 14 | 60% |
| 27 | 100% |
| 45 | 100% |
What each input means
- Source Segment Length (words)
- Number of words in the source segment being translated.
- Matched Words
- Number of words that exactly match the TM entry.
- Substitutions
- Words replaced with different words (e.g., name or number changes).
- Insertions
- New words added that were not in the TM entry.
- Deletions
- Words from the TM entry removed in the source.
What each result means
- Match Category
- The CAT-tool match tier this segment falls into, based on Match Percentage.
- Leverage Rate
- Estimated reuse percentage for cost savings.
How this is calculated
Worked example, using the default values
- Identify Input Parameters5 parametersSource Segment Length (words) = 20, Matched Words = 18, Substitutions = 1, Insertions = 1, Deletions = 0 = 5 input(s) provided
- Calculate Match PercentageMatch Percentage80 = 80
- Calculate Edit DistanceEdit Distance2 = 2
- Calculate Match CategoryMatch CategoryFuzzy Match = Fuzzy Match
Engine last updated . Checked against 1 independently-derived test — how we verify calculators. Built by Paul Gunder, a software engineer, not a licensed financial, medical, or legal professional.
Frequently Asked Questions
Does increasing Matched Words always raise the Match Percentage?
Yes, across the full range of values this calculator supports -- more exactly matched words directly increases the effective match (matched words minus edit distance), which raises the match percentage, whether or not deletions, substitutions, or insertions are also present. The relationship can flatten at the 0% floor or the 100% ceiling, but it never reverses.
Why does a longer source segment lower the match percentage for the same edits?
Match percentage is the effective match divided by the total source segment length -- the same number of matched and edited words represents a SMALLER share of a longer segment than a shorter one, so stretching Source Segment Length while holding matched words and edits fixed always lowers or holds flat the resulting percentage, never raises it.
What is the difference between a substitution, an insertion, and a deletion?
A substitution is a word replaced with a different word (a name, date, or number change is the classic case), an insertion is a new word present in the current source that was not in the stored TM entry, and a deletion is a word that appeared in the TM entry but is missing from the current source. All three count equally toward edit distance in this calculator, regardless of which type they are.
Why is the Leverage Rate lower than the raw Match Percentage?
Leverage Rate applies a discount by match tier because a fuzzy match still requires a translator's editing attention even when most words are already correct -- a 95-99% high-fuzzy match is discounted to about 90% of its raw percentage, a 75-94% fuzzy match to about 70%, and anything below 75% is discounted far more heavily, reflecting that low matches offer little real reuse value despite a nonzero raw percentage.
Can Match Percentage exceed 100% or drop below 0%?
No -- this calculator clamps the result to the 0-100% range regardless of the raw edit-distance arithmetic. If matched words minus edit distance produces a negative effective match (heavy edits relative to matches), the percentage floors at 0% rather than going negative.
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