Machine translation varies by language pair, subject, source quality and system. The same engine can be useful for repetitive support content and unsuitable for a campaign headline, contract or patient instruction. The decision belongs in project scoping.
What post-editing means
Light post-editing targets accurate, comprehensible text with limited stylistic polishing. Full post-editing addresses meaning, terminology, style, register and readability to the agreed publication standard. If poor output removes the expected efficiency, the workflow should change.
Where MT can create value
- High-volume support, knowledge-base or internal information
- Repetitive content supported by controlled terminology
- Short-life material where full human translation is disproportionate
- Language pairs and subject areas where a real sample is usable
Where a different approach is safer
Marketing and brand work depends on voice and effect. Legal and regulated content needs subject expertise. Localex does not use MT for clinical, patient-safety or regulatory-submission content. Financial and culturally sensitive content also need risk-specific scoping.
Common failure modes to test
- Omitted or added meaning, including negation and conditions
- Confident but incorrect terminology
- Changed numbers, dates, units, currencies or names
- Damaged tags, placeholders, variables or subtitle constraints
- Wrong tone, register or unsupported resolution of ambiguity
Data and confidentiality
Ask which engine processes the content, where data travels, whether it is retained or used for training, who reviews output and what happens if the sample fails. Ask who controls the platform: on partner-managed projects the engine and its data terms belong to that environment, so establish which applies before work starts.
| Question | Lower-risk signal | Higher-risk signal |
|---|---|---|
| Purpose | Internal reference or high-volume information | Brand, legal, clinical, financial or public commitment |
| Source | Clear, consistent and repetitive | Ambiguous, creative or fragmented |
| Data | Approved system and terms | Residency or confidentiality terms prohibit it |
| Review | Qualified source–target post-editor | Target-only proofreading or no accountable review |
Related: AI/MT Post-Editing & LQA · Industries
