Author: AILesson7 min setupTested with:ChatGPTReviewed: 2026-08-28
Quick answer
Find material differences in facts, scope, obligations, tone, and terminology across two language versions. Provide: Language version A, Language version B, Authority and terminology rules. Expected result: A severity-ranked bilingual discrepancy report with evidence and repair options.
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Audit the two language versions for semantic consistency.
Version A:
[version_a]
Version B:
[version_b]
Governing version, approved glossary, intended audience differences, and acceptable localization:
[authority]
Align corresponding sections before judging differences. Compare facts, actors, actions, permissions, obligations, prohibitions, dates, numbers, units, scope, conditions, exceptions, causality, certainty, tone, and terminology. Distinguish material contradictions or omissions from acceptable localization and purely stylistic differences. Quote only short identifying excerpts, do not assume which text is correct when authority is unclear, and do not rewrite the whole document. Return: coverage map; discrepancy table with location, category, severity, evidence from A, evidence from B, practical consequence, and suggested repair; approved localization differences; unresolved authority questions; and final consistency verdict.
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From input to outcome
A worked example
See how concrete context turns this recipe into a usable result
Actual input
Language version A
Returns
Unused items may be returned within 30 calendar days of delivery. Contact Support before shipping. The customer pays return postage unless the item arrived damaged. Refunds are issued to the original payment method within 10 business days after inspection.
Version A is the governing policy. Approved terms: Support = 客服; delivery = 签收; inspection = 验收. Chinese may shorten sentences but may not change steps, time bases, or responsibility.
Example output
Coverage map: both versions cover return window, shipping step, postage, refund destination, and refund timing, but three items are not equivalent.
High — return window: A says 30 calendar days after delivery; B says 30 days after shipment. Consequence: the deadline starts earlier in B. Repair B to “签收后 30 个自然日内.” High — required step: A requires contacting Support before shipping; B instructs direct shipment and omits prior contact. Repair to “寄回前请先联系客服.” Medium — refund timing: A says 10 business days after inspection; B says 10 days. Repair to “验收后 10 个工作日内.”
Approved localization: “the customer pays return postage unless damaged” and “平台承担损坏商品运费” express only the exception in B; the default customer responsibility is omitted, so this is not sufficient localization and should be restored. Verdict: materially inconsistent; do not publish B until the three high/medium issues and default postage responsibility are corrected.
Why this works
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Section alignment prevents reordered content from being mistaken for omission.
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Severity and practical consequence focus review on differences that change user action or responsibility.
Check the result
Were all sections aligned, including content that moved or was split?
Does each reported discrepancy cite evidence from both versions and explain its consequence?
Are acceptable localization and uncertain authority kept separate from confirmed errors?
Use it with confidence
Frequently asked questions
Practical answers about when to use this recipe, what to provide, and where human review still matters
What should I prepare before using “Audit bilingual content for semantic consistency”?
For “Audit bilingual content for semantic consistency,” prepare Language version A, Language version B, and Authority and terminology rules. Replace placeholders only with information you can verify. If a detail is unknown, preserve that uncertainty explicitly instead of asking the model to infer it.
When is the “Audit bilingual content for semantic consistency” result not ready to use?
The result is not ready if it does not yet deliver the stated outcome—A severity-ranked bilingual discrepancy report with evidence and repair options—from the supplied evidence, or if it relies on unresolved assumptions, missing approvals, or invented details. Use the checks as release gates: revise the source inputs or assign a named, authorized reviewer instead of polishing an unsupported output.
Which AI tools have recorded tests for “Audit bilingual content for semantic consistency”?
The published test record for “Audit bilingual content for semantic consistency” lists ChatGPT as of 2026-08-28. This confirms recorded runs, not guaranteed compatibility or identical results in later product versions. For another tool or version, keep every constraint visible and repeat the result checks before use.
ChatGPT