An ICE match, or in-context exact match, is a translation memory match where both the segment text and its surrounding context are identical to the context stored previously. In CAT tools and localization workflows, ICE matches are considered highly reliable because they verify not only the source segment but also its position, neighboring segments, and often formatting, reducing the need for manual review.
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ICE matches appear in CAT-tool match statistics, translation memory management, and project reporting during pre-translation and post-editing. Project managers use them to identify segments that can be reused with minimal linguistic checking, while translators see the context confirmation in the match pane before accepting or editing the corresponding target text.
A common mistake is to confuse ICE matches with ordinary exact matches, resulting in inflated match rates and underestimating review effort. If surrounding context was not stored correctly, ICE matches may be reported when position or neighboring segments actually differ, causing incorrect re-use of target text in a new layout or product flow.
Creative and consumer content needs accurate meaning as well as tone and context. Subtitles, interfaces and voice scripts also require checks for timing, character limits and pronunciation.
Provide approved terms and previous translations with the source files. Agree how variants, ambiguous wording and revisions will be reviewed. Terminology maintenance and any termbase handback are confirmed in the project scope. See the 8-step AI + expert workflow.
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