People searching update source file in a CAT tool, reimport changed source document, preserve translations after source update, source revision translation workflow, X-Translate, or synchronize changed source with existing target text are usually dealing with one of the most expensive interruptions in localization: the source changed after translation had already started. A client sends a revised DOCX, a software team exports a new XLIFF, an engineer updates a manual, or a policy owner changes one section after reviewers have already touched the old version. The translator now needs the new source without throwing away useful target work.
A fast translation workflow uses source update synchronization rather than rebuilding the project. Modern CAT tools commonly keep document version history, support reimporting source files, distinguish major source versions from target revisions, and can copy trusted translations from an earlier source version into the new one. memoQ, for example, calls this kind of version-aware transfer X-Translate: translations from a previous source version can be carried into the updated document while changed or new segments remain available for review. The exact command varies by platform, but the mechanism is the same.
This article owns one narrow reader job: bring an updated source into an active or completed CAT project while preserving trustworthy translation work and making the genuinely changed source visible. It is not the same as fuzzy-match editing, source pre-editing, ordinary document version diffing, or project backup. Those are adjacent systems. Source update synchronization is the controlled handoff from source version A to source version B without forcing the team to start from zero.
Quick answer
When a revised source arrives:
- pause editing if several people are working;
- preserve the current project state or backup the bilingual files;
- reimport or update the source through the CAT tool’s version-aware workflow;
- transfer trusted translations from the previous source version;
- identify unchanged, changed, moved, added and deleted content;
- review copied translations according to source-change risk;
- rerun analysis, QA and assignment statistics if the project depends on them;
- continue from the new source version.
The key principle is:
Carry forward proven target work, not stale assumptions.
If the source did not change, reuse should be cheap.
If the source changed, human attention should move there.
Why ordinary file replacement is dangerous
A CAT project is more than a target document.
It contains:
- segment status;
- translation memory links;
- comments;
- reviewer changes;
- terminology decisions;
- context identifiers;
- lock states;
- QA state;
- assignments;
- version history.
If you simply delete the old source and import the new file as an unrelated document, much of that project state can become disconnected.
You may still recover text from the TM.
But recovery from TM is not the same as preserving the document’s exact prior state.
A version-aware update can retain more context about what happened before the source changed.
The difference between source version and target revision
A source version changes what the source says.
A target revision changes how the same source is translated.
If a reviewer rewrites a target sentence, that is a target revision.
If the client changes the source sentence, that is a new source version.
CAT tools often track these separately because the recovery problem differs.
Target revision history asks:
Which earlier translation version should I trust?
Source update synchronization asks:
Which previous target work still belongs to this new source version?
Do not mix those questions.
The safest timing: update before more translation grows around the old source
When the client announces a source update, the first operational question is timing.
If several translators keep working in the old version for another six hours, the project creates more work that must later be mapped into the new version.
For significant updates:
- pause the affected file;
- capture current state;
- update source;
- resume quickly.
This reduces divergence between old and new project states.
Worked example 1: a mid-project manual revision
A 20,000-word equipment manual is 60% translated.
The client sends a revised manual.
Changes include:
- two new warnings;
- one deleted paragraph;
- five changed dimensions;
- several moved paragraphs;
- one renamed component.
A weak workflow imports the new manual as a fresh document and pre-translates from TM.
That may recover many sentences.
But it can lose:
- unconfirmed translator work;
- comments;
- segment statuses;
- exact document relationships;
- moved-context evidence.
A stronger workflow updates the existing source version, copies previous translation states where appropriate, then routes only changed or context-affected segments to deeper review.
The first safeguard: freeze the old state
Before source replacement:
- save project;
- confirm or snapshot work according to workflow;
- export a bilingual backup if required;
- record current version;
- notify translators.
The purpose is reversibility.
If reimport behaves unexpectedly, you need a trusted reference state.
This is especially important when:
- source filter changes;
- file structure changes substantially;
- several linguists are active;
- unconfirmed work exists.
Confirming before update can protect uncommitted work
Some workflows store confirmed segments into a working TM.
If a translator has large amounts of unconfirmed target text and the project is about to undergo a source update, a controlled confirmation or bilingual backup can protect that text.
Do not confirm low-quality provisional work merely to make a dashboard look complete.
The point is to preserve work, not mislabel quality.
If your platform supports version snapshots without confirming, that may be preferable.
Reimport using the same file filter
A source update should normally be reimported with the same filter configuration used originally.
Why?
Because different filter settings can change segmentation and context extraction.
A source sentence that previously appeared as one segment may become two.
Hidden text may suddenly enter.
Comments may change.
Table cells may import differently.
Then the CAT tool sees structural change even where the source author changed nothing.
Consistency of import configuration protects reuse.
Worked example 2: DOCX tracked changes
The client sends a DOCX with tracked changes.
Possible import choices can include:
- accept source changes before import;
- reject source changes;
- import source changes with tracking.
The correct choice depends on project purpose.
If translation should reflect the final accepted source, import the final source state.
If reviewers need to see what the author changed, source-side change tracking can be useful.
Do not let Word’s review markup accidentally become translation content.
The second safeguard: distinguish mid-project update from new revision of completed work
Mid-project update
Goal:
preserve all useful work, including current translator state.
You may want to carry:
- confirmed segments;
- edited unconfirmed segments;
- statuses;
- match metadata.
New revision after completed translation
Goal:
use the approved completed target as the baseline.
You may choose to carry only:
- reviewer-approved segments;
- final confirmed segments;
- high-trust prior translations.
The same tool may offer different scenarios because the quality baseline differs.
Context IDs versus text flow
Structured source formats often have stable IDs.
Examples:
- software resource keys;
- XML IDs;
- spreadsheet row IDs;
- database identifiers.
When content is reordered, text flow can change even if individual strings remain associated with the same function.
A context-ID-based update can preserve the correct mapping better than pure sequence comparison.
For running prose, text flow may be more natural.
Use the source structure the content actually has.
Worked example 3: Excel product catalog
Original row:
SKU-221 | Blue Pump | 20 bar
New version moves the row and changes:
20 bar → 25 bar.
A stable SKU/context ID can identify that this is the same product row.
Without ID-based context, reordering may make synchronization less precise.
The translator should carry the product name translation but verify the changed pressure value.
Unchanged text is not always unchanged context
A sentence can remain textually identical but move into a new section.
Example:
Contact support if the issue continues.
Originally appears under:
Account setup.
New version moves it under:
Billing failure.
The sentence text is unchanged.
Its surrounding context changed.
The target may still be fine.
But if terminology or referents depend on context, review may be needed.
Source synchronization should distinguish exact textual sameness from stable contextual sameness where the tool can.
The change classes
After update, classify segments into practical groups.
Unchanged source, stable context
Strong reuse candidate.
Unchanged source, changed context
Light-to-standard review.
Changed source with high similarity
Fuzzy-edit workflow.
New source
Fresh translation.
Deleted source
Do not keep obsolete target in deliverable.
Moved source
Check context and sequence.
This map is more useful than one generic “updated file” label.
Worked example 4: one-word legal change
Old source:
The supplier may terminate the agreement.
New source:
The supplier must terminate the agreement.
Text similarity is extremely high.
Meaning changes dramatically.
A source update system may preserve the old target as a high fuzzy match.
The translator must inspect the changed word.
This is why update synchronization should route attention based on changed source, not only match percentage.
Worked example 5: number-only change
Old:
Maintain 150 mm clearance.
New:
Maintain 120 mm clearance.
Almost all target wording can be reused.
The number must change.
High similarity creates fast editing and high risk of overlooking the only changed token.
Use fuzzy diffing and numeric QA.
Worked example 6: paragraph moved without wording change
A safety warning moves from appendix to main procedure.
Translation remains textually correct.
But its importance and surrounding heading may alter:
- capitalization;
- warning label;
- cross-reference.
Review structure.
Movement is not always a zero-cost change.
Added source
New source has no prior target.
Treat it as normal new translation.
But inspect neighboring translated content because the addition may alter:
- pronoun reference;
- list grammar;
- sequence;
- paragraph cohesion.
One inserted sentence can change the meaning of an unchanged following sentence.
Deleted source
Do not preserve deleted target merely because it still exists in TM.
TM is history.
Deliverable follows current source.
Deleted segments can remain in version history or TM but should not leak into final target.
Merged source
Two old source segments become one new sentence.
Previous targets may be individually useful.
Do not simply concatenate them.
Rebuild target grammar across the new combined structure.
Split source
One old sentence becomes two.
Previous target can provide wording.
Redistribute meaning carefully.
Do not let old punctuation or grammar force awkward target segmentation.
Worked example 7: split instruction
Old:
Save the file and restart the application.
New:
Save the file. Restart the application.
Old target contains both actions in one sentence.
The new source separates them.
Use prior wording, but create two clean target segments.
This can improve future TM leverage.
Worked example 8: merged policy clause
Old:
Employees may work remotely. Manager approval is required.
New:
Employees may work remotely with manager approval.
Target should be rebuilt as one sentence.
Do not preserve old two-sentence rhythm mechanically.
The translation-memory fallback
If the CAT tool cannot synchronize the updated document directly, TM can still recover work.
One common fallback pattern is:
- preserve old project;
- confirm/update current target into working TM;
- import new source as new document;
- pre-translate from TM;
- review changed segments.
This can be effective.
It is less context-rich than true version transfer but far better than starting from blank.
Why unconfirmed work is vulnerable in fallback workflows
If unconfirmed target has not entered TM, pre-translation cannot retrieve it.
That is why bilingual backup or controlled TM update before replacement matters.
Do not discover after reimport that yesterday’s work existed only in temporary editor state.
Recalculate project analysis after source update
The word count and match distribution changed.
Rerun:
- statistics;
- repetitions;
- fuzzy bands;
- new words.
This matters for:
- workload;
- assignment;
- deadline;
- billing;
- reviewer scope.
Do not use the old analysis as if the source were still old.
Reassign only changed work when possible
A large update can be distributed efficiently.
For example:
- unchanged approved segments stay protected;
- changed/new segments go back to translator;
- high-risk changed segments go to reviewer;
- terminology-impact segments go to lead linguist.
Source update synchronization creates a new human queue.
Do not send the whole 50,000-word file back for full retranslation automatically.
Worked example 9: three-translator project
Files A, B, C.
Client changes only File B.
Pause B assignment.
Update B.
Carry translations.
Filter:
- changed;
- new;
- context-changed.
Reassign those segments to B translator.
Files A/C continue.
This isolates disruption.
Worked example 10: global terminology rename plus source update
Client changes product name in the new source.
Now source strings containing old product name change.
Do not treat this only as source update.
Also update:
- termbase;
- target search;
- TM policy;
- UI short forms.
A source revision can trigger resource revision.
Comments and source updates
Segment comments may map to changed source.
After update:
- inspect unresolved comments;
- ensure they still refer to current text;
- migrate project-wide decisions into durable resources.
A deleted segment can take a useful comment with it.
Do not lose unresolved knowledge.
Bookmarks and source updates
Personal bookmarks may move or break after reimport.
Critical issues should not exist only as bookmarks.
After synchronization:
- verify bookmarks;
- remap important checkpoints.
Track changes and source updates
Source-side change tracking can make updates easier to understand.
But target review markup and source review markup are different layers.
Do not confuse:
- what client changed in source;
- what reviewer changed in target.
Use separate history where possible.
Source update and segment locks
Previously locked segments may become invalid if source/context changes.
After update:
- unlock affected segments;
- review;
- relock only if still approved.
A lock belongs to a specific source state.
Source update and context matches
Strong context match from old version is useful when context truly remains stable.
If context ID changes, match confidence should fall.
Do not force old “101% certainty” into a new context.
Source update and pre-translation
Version-aware transfer can happen before or alongside pre-translation.
Useful hierarchy:
- direct prior-version transfer;
- current approved TM;
- project TM;
- fuzzy/MT assistance.
The closest provenance usually deserves first trust.
Source update and QA
Rerun QA after synchronization.
Why?
Because carried target text may now interact with:
- new tags;
- changed numbers;
- changed terminology;
- changed placeholders;
- changed layout.
Old target quality does not guarantee new source compatibility.
Source update and in-context preview
A moved or changed string can appear in a new UI container.
Even identical target may overflow or become inappropriate.
Preview changed-context strings.
Source update and length limits
Product redesign can shrink a component.
Source text unchanged.
Target now exceeds new limit.
This is a context update without lexical update.
Update synchronization should not be interpreted purely linguistically.
Source update and project reference files
Client may provide new:
- PDF;
- screenshot;
- spec;
- style guide.
Update references alongside source.
Do not let translator work from stale documentation.
Failure mode 1: deleting old document before preserving state
You lose unconfirmed work or comments.
Always preserve.
Failure mode 2: importing updated file as unrelated new job without reason
You throw away version mapping and context.
Use version-aware reimport when supported.
Failure mode 3: using different import settings
Unchanged source becomes structurally different.
TM leverage drops.
Review workload inflates.
Reuse same filter/configuration unless source format itself changed.
Failure mode 4: trusting copied target after source change
The tool carried old target.
Translator sees filled row and assumes safe.
Source changed subtly.
Read diff.
Filled does not mean correct.
Failure mode 5: ignoring deleted content
Obsolete target remains in exported file because source update was handled by manual copy/paste instead of true reimport.
Use source-driven export.
Failure mode 6: source update during active collaboration without pause
Translator keeps editing old rows while PM updates source.
Work diverges.
Coordinate.
Failure mode 7: client sends “minor changes” and team skips analysis
Minor changes can include:
- negation;
- numbers;
- legal modal;
- product name.
Always run diff/update workflow.
Failure mode 8: update after review but before final export
Late change bypasses reviewer.
Set rule:
source change reopens affected review gate.
Do not deliver linguistically unreviewed update because “only one line changed.”
The mid-project update checklist
Before:
- notify team;
- snapshot/backup;
- preserve unconfirmed work;
- note source version;
- verify import filter.
During:
- reimport/update;
- transfer previous target;
- inspect mapping;
- recalc statistics.
After:
- filter changed/new;
- verify comments/locks;
- rerun QA;
- reassign review;
- export test.
The completed-project revision checklist
For next revision:
- use prior final reviewed target as baseline;
- carry only trusted completed segments where possible;
- inspect terminology changes;
- rerun context matching;
- review changed source;
- regenerate final files.
Completed work should become leverage, not baggage.
How much of the old target should be copied?
Depends on old target quality.
Possible policies:
Copy everything
Useful mid-project to preserve work-in-progress.
Copy confirmed only
Stronger quality baseline.
Copy reviewer-approved only
Best for new revision after completed project.
The tool should match workflow stage.
Version naming
Use clear file/project versions:
- v1;
- v2;
- 2026-09-19;
- client revision 3.
Ambiguous filenames like:
FINAL_new2_revised
create human error.
Version discipline supports source synchronization.
Do not rename files casually during updates
If the CAT tool maps updates partly by file identity/path, unnecessary renaming can reduce automatic matching.
Keep stable naming unless change is intentional.
Source update and export path
Updated source may have new filename.
Verify target export path.
Do not overwrite earlier final accidentally if project needs both versions.
Audit after first updated file
Before updating 50 files:
- test one;
- inspect carried translations;
- inspect changed-source mapping;
- export target;
- confirm no content lost.
Then scale.
This is the same sample-before-scale principle used elsewhere.
Source update and project templates
Recurring projects can automate:
- reimport;
- transfer;
- pre-translation;
- statistics.
Automation reduces steps.
But test template behavior when source pipeline changes.
Source update and external bilingual files
If translators worked offline in bilingual format while source changed centrally, reintegration becomes harder.
Establish update freeze or handoff rule.
Do not let two source versions circulate without control.
Source update and offline project packages
Package must match source version.
If central project updates, old offline package can return stale translations.
PM must decide:
- invalidate package;
- merge carefully;
- issue new package.
Version identity matters.
Source update and MT
New segments can be MT prefilled.
Copied old segments may come from human translation.
Mark provenance.
Do not let the mixed target look uniformly trusted.
Source update and quality estimation
QE can triage new MT segments.
It says nothing about whether copied old human target remains valid after changed source unless system evaluates that specifically.
Keep mechanisms separate.
Source update and numerical pass
Changed source often includes:
- dates;
- amounts;
- dimensions.
Run structured-data pass on changed segments.
High fuzzy reuse is where number mistakes hide.
Source update and target-only review
If update is small, full target-only review may not be necessary.
But if paragraphs were moved/merged, cohesion can break.
Read affected section in target-only mode.
Source update and project closeout
Late source change can invalidate a project that was ready to archive.
Closeout begins only after final source version is frozen enough for delivery.
Otherwise the archive contains stale deliverable.
Escalation rule
If source revision changes more than a manageable percentage or radically changes structure, consider fresh project/version rather than surgical update.
Version-aware transfer is useful, but not every rewrite is an “update.”
Sometimes new source is essentially a new document.
Measure update leverage
Track:
- old words;
- carried unchanged;
- changed fuzzy;
- new;
- deleted.
This shows how much prior work survived.
Useful for planning future revisions.
Measure mapping errors
Sample transferred segments.
If wrong prior targets map often, update mechanism/context IDs are weak.
Fix source pipeline.
Source-system feedback
Localization can ask source authors to preserve:
- stable IDs;
- consistent formatting;
- meaningful structure.
Better source versioning produces better translation reuse.
The deeper principle: source changes should move human attention, not destroy human work
A revised source does not erase the value of yesterday’s translation.
But it changes where yesterday’s decisions remain valid.
A good synchronization workflow preserves:
- trustworthy target;
- project context;
- history;
while making new or changed source impossible to miss.
That is the productivity goal.
Advanced practice: build a source-update risk map before reimport
Not every changed file deserves the same response. Before updating, classify the revision.
Low-risk revision
Examples:
- punctuation cleanup;
- typo fixes;
- harmless wording changes;
- layout-only edits.
These often preserve most target text.
Medium-risk revision
Examples:
- paragraph additions;
- product wording changes;
- moved instructions;
- terminology updates.
These need targeted bilingual review.
High-risk revision
Examples:
- legal obligations;
- safety warnings;
- dosages;
- financial values;
- system logic;
- requirements.
These reopen a stronger review gate even when the textual change is small.
The risk map lets the team decide how much of the old target can be trusted automatically.
Worked example 11: a source typo correction that changes no meaning
Old source:
The sytem restarts automatically.
New source:
The system restarts automatically.
The old target may already be correct because the translator silently understood the typo.
A version-aware update should not force full retranslation.
The new source simply aligns with the existing target.
This is low-risk.
Worked example 12: a source typo correction that does change meaning
Old source:
The valve opens at 15 bar.
Client says source typo:
15 bar should be 1.5 bar.
The target must change.
A “typo fix” can be high-risk.
Classify by meaning, not by client’s label for the change.
Worked example 13: deleted qualifier
Old:
approved users only.
New:
approved users.
One word removed.
Scope changes.
High similarity should not reduce review.
Worked example 14: inserted exception
Old:
Service is available in all regions.
New:
Service is available in all regions except Region X.
The old target forms most of the new sentence.
But the exception is the decisive information.
This is a high-priority changed segment.
Worked example 15: reordered steps
Old:
- Disconnect power.
- Remove cover.
- Release pressure.
New:
- Release pressure.
- Disconnect power.
- Remove cover.
All source sentences are unchanged.
Text-based matching may carry targets perfectly.
Procedure changed.
Sequence is meaning.
Review moved segments in procedural content.
Source movement can be semantically important
In ordinary prose, paragraph movement may change rhetoric.
In instructions, step movement can change safety.
In legal documents, moving a clause into a different section can change scope.
Do not treat movement as a purely structural event.
The review question is:
Does this unit mean the same thing in its new position?
Update synchronization in multi-language projects
One source update can affect 20 target languages.
The project manager should avoid 20 independent interpretations of what changed.
Create a shared source-update note:
- version;
- changed files;
- high-risk sections;
- source clarifications;
- terminology changes.
Then each language team applies the same source understanding.
This reduces cross-locale divergence.
Multilingual context IDs
Stable IDs are particularly valuable in multi-language products.
One source string with one stable key can preserve:
- translation history;
- screenshots;
- comments;
- terminology context.
When developers regenerate IDs unnecessarily, every locale loses leverage.
Localization teams should feed this cost upstream.
Reimport and assignment ownership
When source changes mid-project, ownership should remain clear.
If changed segment belongs to translator A but reviewer B is active, define who edits first.
A simple rule:
source update returns affected segments to translation stage before review resumes.
This prevents reviewers editing stale target while translator updates another copy.
Source update freezes
For critical release windows, define a source freeze.
After freeze:
- emergency updates only;
- explicit approval;
- affected review rerun.
This reduces churn.
Translation speed is often limited more by source instability than by translator throughput.
Measure source churn
Track:
- number of source updates;
- words changed after translation started;
- number of segments reopened.
If churn is high, project planning should address source readiness.
Do not solve unstable authoring only by demanding faster translators.
Source update SLA
For teams, define response:
- small update: integrate same day;
- major rewrite: re-estimate;
- critical late change: escalate release risk.
Clear operational thresholds improve coordination.
Source update comments
When a source change resolves an old translator query, close that comment explicitly.
Example:
Old comment:
“Does ‘bank’ mean financial institution?”
New source:
“financial institution.”
The source revision itself is the answer.
Update target, close thread, update terminology if needed.
Source update creates new terminology candidates
New content can introduce terms absent from original project.
Run term extraction or quick-add as translation continues.
Do not assume original glossary remains complete.
Source update can invalidate terminology
A product rename in source can make previously correct target terms obsolete.
Treat source-update synchronization as a trigger for:
- termbase review;
- custom dictionary review;
- snippets;
- UI short forms.
The source version can change the project’s lexical system.
Source update and TM cleanup
Old TM entries can remain valuable for previous source versions.
Do not delete them merely because source changed.
But if terminology changed globally, mark old material as legacy or update master according to governance.
Version history and TM history serve different purposes.
Source update and project analysis
Rerun analysis after update.
Compare old/new:
- new words;
- fuzzy;
- exact;
- repetitions.
This gives an objective measure of revision scope.
A client saying “a few edits” may have changed 30% of the file.
Analysis shows reality.
Source update and cost estimation
If the project is billed by revision effort:
- changed/new words;
- review depth;
- source-churn overhead.
Use updated analysis.
Do not charge or schedule from original scope blindly.
Source update and QA baseline
A clean project before update gives a baseline.
After update, any new QA errors likely come from:
- changed source;
- transferred target;
- update process.
This helps diagnosis.
Source update and regression bookmarks
Before a large reimport, bookmark representative:
- tagged segment;
- number-heavy;
- UI string;
- table.
After update, revisit.
Did structure survive?
This is fast regression testing.
Source update and export comparison
Export new target and compare with previous final where useful.
Look for:
- unexpected deletions;
- formatting loss;
- reordered sections.
A document diff can catch reconstruction problems beyond segment-level checks.
When the client supplies both old and new source
Use explicit document diff before import if the changes are unclear.
This helps plan:
- risk;
- terminology;
- source queries.
Then use CAT synchronization for target reuse.
Diff and synchronization are complementary.
When the client supplies only new source
Version-aware CAT history becomes especially valuable because the project itself contains old source.
If no version history, use archived old file.
Do not rely on memory.
When the client renames the file
Try to confirm it is same logical document.
File rename can hide update relationship.
Ask:
- new version or new deliverable?
Correct classification determines reuse.
When one source splits into several files
Old manual becomes chapter files.
Direct version mapping may weaken.
TM + context/reference can recover target.
Project structure changed.
Consider a new project if mapping becomes too complex.
When several source files merge into one
Same issue.
Document-level versioning may not map.
Use cleaned master TM, plus careful review.
When format changes
DOCX becomes HTML.
Source text may be same, but segmentation/tags differ.
Direct reimport may not apply.
Use TM transfer and round-trip testing.
Format migration is more than source revision.
When locale/source language changes
If source language version itself changes, do not treat as ordinary source update.
Example: English US source replaced with English UK localized source.
Translation direction/context may change.
Reassess project architecture.
Handling source corrections inside target-only workflow
Sometimes translator discovers source typo and client authorizes correction.
If tool allows source edit:
- record;
- ensure source master is updated externally too.
Do not let CAT project become the only corrected source version.
Localization should not fork source truth silently.
Avoid “ghost corrections”
Translator edits source segment locally to fix typo.
Client source file stays wrong.
Next release reintroduces typo.
Better:
- log source correction;
- send upstream.
Source-update synchronization works best when source-of-truth system learns too.
Update notes for future reviewers
For material changes, add project note:
v3 source changed steps 4–6 and pressure values.
Future reviewers know where to focus.
Do not overdocument trivial edits.
A source-update severity score
You can use simple:
- 1 = cosmetic;
- 2 = linguistic;
- 3 = structural;
- 4 = high-consequence meaning.
This is optional.
Purpose:
- route review effort.
Do not turn into bureaucracy.
Review changed-context exact matches
Filter exact target transfers whose source text unchanged but context changed if tool supports.
These are easy to ignore.
They are especially important for:
- short strings;
- pronouns;
- headings;
- UI labels.
Short-string updates
A new screen context can change “Close” from:
- close window;
to:
- near.
Text unchanged.
Context update matters more than lexical update.
Stable IDs/screenshots are critical.
Headings after source movement
A heading moved under different parent can change interpretation.
Target may need:
- different capitalization;
- noun form.
Review document hierarchy.
Lists after source update
Inserting one bullet can change:
- “following three” → “following four”;
- punctuation;
- parallel grammar.
Review list intro and entire list.
Tables after source update
New column can shift:
- headers;
- unit associations.
Do not verify cells in isolation.
Preview table.
Footnotes after source update
Renumbering can change references.
TM target may contain old footnote number.
Cross-reference QA needed.
Citations after source update
New bibliography item can renumber citations.
Check target references.
The words can be unchanged while reference identity changes.
Images after source update
Image replaced while caption source unchanged.
Target caption may now be wrong for new image.
Source synchronization cannot detect visual-context changes automatically.
Project references/screenshots matter.
Source update and accessibility strings
Alternative text may change because image changed.
Do not reuse old alt text solely because file key stayed same.
Context/function changed.
Source update in software localization
Stable resource keys help.
But developers sometimes repurpose keys.
If same key gets new meaning, old context match becomes dangerous.
Source engineering should avoid repurposing IDs.
Source update in CMS content
Page blocks may move/duplicate.
Stable component IDs can help.
Check whether copied target fits new page context.
Source update in annual reports
High reuse:
- headings;
- standard disclosures.
High change:
- numbers;
- claims;
- names.
Use TM aggressively and numeric verification strongly.
Source update in contracts
Boilerplate reuse high.
One changed modal/party/date high consequence.
Review diff at legal depth.
Source update in medical content
Any changed:
- dose;
- contraindication;
- age;
- warning;
requires full verification.
Do not let high fuzzy similarity reduce clinical attention.
Source update in marketing
New campaign phrasing may require target rewrite.
TM reuse can create stale voice.
Use target-only review after changed sections.
Source update in educational content
Question numbers/answer keys can shift.
Check references after inserted/deleted questions.
A final source-update gate
Before releasing new version:
- current source version recorded;
- changed segments reviewed;
- comments mapped;
- terminology updated;
- QA rerun;
- output tested.
Do not rely on one green progress bar.
The mature update workflow
A mature team can absorb source revisions without panic because:
- source versions are explicit;
- backups exist;
- IDs stable;
- TM clean;
- terminology current;
- changed content is filterable;
- review gates are defined.
The translator spends time on new meaning, not project reconstruction.
Final synchronization validation sample
Before reopening the whole team workflow, inspect a small validation set from the updated source: one unchanged context match, one moved but unchanged sentence, one high-fuzzy changed sentence, one new sentence, one deleted section boundary, and one segment with tags or placeholders.
This sample tests the update mechanism itself. If the carried translations, statuses and context behave correctly across these cases, the team can resume with more confidence. If the sample shows wrong mapping, stale targets or lost structure, stop before translators create more work on top of a faulty update.
The principle is the same as every high-leverage CAT operation: validate the mechanism on representative cases before scaling the result across thousands of segments.
Summary
Source update synchronization helps people translate quickly by carrying trusted target work from an earlier source version into a revised source while routing changed content back to human attention.
The reliable workflow is:
pause → preserve state → reimport with consistent settings → transfer previous target → classify unchanged/changed/new/deleted → recalculate → review changed context → QA → resume
Do not replace files blindly.
Do not trust copied target blindly.
Version-aware translation lets teams absorb source revisions without rebuilding the job.
Frequently asked questions
What is source update synchronization?
It is the process of importing a revised source version into an existing translation project while preserving usable target work from the earlier source version.
What is X-Translate?
memoQ uses this name for copying translations from an earlier document version into a newer source version.
Should I update source mid-project?
Yes when needed, but coordinate active translators and preserve current work first.
Why use the same import filter?
Changing filter settings can alter segmentation/context and make unchanged content look changed.
Can translation memory recover old work?
Yes, but version-aware transfer may preserve more document state such as context and status.
What happens to unconfirmed work?
It can be vulnerable if not preserved in version history, bilingual backup or TM before update.
Should copied exact translations be reviewed?
According to context/risk. Unchanged stable-context text may need light review; changed context needs more.
What if the source changed only one number?
Use the old target as a base but verify the changed number carefully.
Should I rerun statistics?
Yes. Source update changes workload, match bands and potentially billing/assignment.
When is a fresh project better?
When the source is structurally rewritten so heavily that version transfer becomes more confusing than useful.
Internal-link opportunities
- How People Translate Quickly | Version Diffing
- How People Translate Quickly | Fuzzy Match Diffing
- How People Translate Quickly | Context Matches
- How People Translate Quickly | Project Backup and Recovery
- How People Translate Quickly | Pre-Translation
- How People Translate Quickly | Project Analysis and Match Bands