How-to· 1 min
Proofreading Japanese with AI, and why general models fail at it
Relevant only if you publish in Japanese — but if you do, this is a real gap.
AI Tools Hub Editorial · published · updated
Why a general model is the wrong tool
- It rewrites rather than flags, so you cannot see what changed
- It loses track of notation consistency across a long document
- It is tolerant of honorific errors a client would notice
- It gives different answers on different runs
What actually goes wrong in Japanese
| Category | Commercial impact |
|---|---|
| Notation drift for the same term | Brand impression and searchability |
| Doubled honorifics | The client's contact notices |
| Ambiguous modifier attachment | Serious in contracts |
| Duplicated particles | Simple oversight |
The shared dictionary is the feature that sticks
Deciding once how a product name is written and enforcing it across every writer removes a review comment that otherwise recurs forever. The value scales with the number of writers.
It checks language, not truth
A document can pass cleanly and still state a wrong number. Fact-checking is a separate step.
FAQ
Should I accept every suggestion?
No. Style suggestions need judgement and will flatten deliberate choices. Accept notation and honorific fixes; read the rest.