ICE Match

An ICE match (In-Context Exact match) is a translation memory match where a segment of text is 100% identical to previously translated content and appears in the same context as before. Because both the text and its surrounding structure are unchanged, the translation can typically be reused automatically without modification.

ICE matches are commonly generated when content is pulled directly from a source system, such as a content management system or software repository, where the segment and its metadata confirm that nothing has changed.

How ICE Matches Work

ICE matches rely on both exact text matching and context verification.

Exact Text Match The source segment is identical to a previously translated segment stored in translation memory.

Context Verification The surrounding structure, such as the file, code structure, or document location, matches the original context.

Automatic Reuse Because both the text and context are unchanged, the translation can often be inserted automatically without requiring review.

Workflow Efficiency ICE matches help eliminate redundant translation work when content is reused or unchanged between versions.

ICE Match vs Exact Match

While both refer to identical text matches, there is an important distinction.

Exact Match (100%) The text matches a previous segment exactly but may appear in a different context.

ICE Match The text and the context both match the original source, making the reuse even more reliable.

Benefits of ICE Matches

ICE matches improve translation efficiency and reduce unnecessary work.

• Eliminates translation work for unchanged content
• Speeds up localization workflows
• Ensures consistent reuse of approved translations
• Reduces translation costs for repeated content
• Supports efficient updates to documentation and software

ICE Matches in Modern Localization Workflows

ICE matches are especially common in software localization, documentation updates, and version-controlled content where many segments remain unchanged between releases. Translation platforms and TMS systems automatically identify these matches to streamline translation workflows.