Raw automated translation handles everyday internal documents and product listings, but legal documents and collaborative reference platforms still demand rigorous human oversight to catch critical errors.
The Economic Reality of Automated Drafts at OKA
For routine commercial tasks, automated translation has firmly established itself as the default standard. According to John Zimmerman, founder of OKA (Open Knowledge Association)—a Swiss non-profit that translates Wikipedia articles into other languages—multiplying costs by 100 to catch minor errors makes little sense when dealing with internal documents or product listings.
Achieving scale without automation would be financially prohibitive. Translating 10,000 articles through traditional methods would cost millions, Zimmerman explains.
Publishing Ten Thousand Translated Encyclopedia Entries
Collaborative reference projects operate under a strictly higher standard because public trust is paramount. A single incorrect fact can persist for years, frequently cited by journalists and artificial intelligence systems alike, according to Zimmerman.
OKA stands as the single largest contributor of translated articles to the collaborative online encyclopedia. The non-profit publishes more than 10,000 pieces primarily into Spanish, Portuguese, and English.
The organization relies on a hybrid model to achieve this volume. It uses automated software to generate an initial draft, followed by human translators who check every single sentence.
The Growing Temptation to Bypass Human Editors
Despite the necessity of human intervention, the role of human editors is shifting. Machine output has improved to the point where skipping human checks entirely is a serious temptation across the industry.
Two or three years ago, when using tools like DeepL, translators still rewrote substantial portions of every draft. Today, the prose frequently requires no fixing at all. This shift raises the central question of whether automated translation is now good enough to remove human oversight completely.
High-Stakes Legal Errors and Court Documents
Professional translators argue that the technology is not yet ready to work unassisted. Ariella Baltié, a translator and legal expert specializing in court documents translated from English into French, was recently asked to review documents that individuals had already processed through automated tools. She found two major errors right at the beginning of the text.
The AI had translated “Le demandeur” (the plaintiff) as “the requester”. Totally awkward for legal papers.
Ariella Baltié, translator and legal expert
In another instance, when the software encountered Madame X, épouse Y
(Ms X, wife of Y), it produced Ms X marries Y
, mistaking a noun for a verb and completely losing the original meaning of the phrase.
In the legal sphere, such mistakes carry serious consequences. In the US, errors in machine-translated asylum applications have previously resulted in delays in releasing detainees.
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