AI translation services use neural machine translation engines to produce a first draft, which a qualified human linguist then reviews and corrects. The combination is known as machine translation post-editing. It delivers large volumes faster and cheaper than full human translation, while keeping a person accountable for accuracy
For internal reports, product catalogues, support content and training material, post-edited AI translation is accurate enough and widely used. For contracts, regulatory submissions and anything with legal consequence, raw machine output is not safe. The deciding factor is whether a qualified linguist reviews the file before it is used.
There is no single best AI for translation. Engine performance varies sharply by language pair and subject matter, and the best AI translation tools for English to Spanish marketing copy are rarely the strongest on English to Arabic legal text. Sim Trans selects the engine per project rather than defaulting to one.
Free AI translation tools are acceptable for understanding an incoming email. They are a poor choice for company content, because many retain what you submit, none apply your terminology, and nobody is accountable for errors. Confidential material should never be pasted into a public AI translate tool.
AI translation produces output in seconds by predicting likely renderings from training data. Human translation is slower and costlier, but a qualified translator understands context, legal effect and audience. Post-editing sits between the two: engine speed, human judgement, at roughly half the cost of full human translation.
No. Documents submitted to the Ministry of Justice, MOFA, UAE Courts, the RTA or immigration authorities require certified translation by a sworn translator, with a stamp and certification statement. AI output cannot carry that certification, whatever post-editing has been applied to it.
Machine translation post-editing is the process of a qualified linguist reviewing and correcting AI output against the source text. Light post-editing targets accurate, readable content for internal use. Full post-editing produces publication-ready text matching human translation quality, and follows the ISO 18587 standard.
Post-edited AI translation is typically priced per word and usually costs less than full human translation, with the exact rate depending on language pair, subject matter, post-editing level and volume. Sim Trans quotes a fixed per-word rate after reviewing a sample, with no charges added afterwards.
Arabic remains one of the harder pairs for AI translation software, because of dialect variation, right-to-left formatting and grammatical gender. Engines that score well on European languages often underperform on it, and there is no single best AI language translator for Arabic. This is the pair where human post-editing changes the result most, whichever language translation AI produced the draft.
Yes. Companies routinely use AI to translate video content: an AI video translator transcribes the audio, generates timed subtitles and translates them into the target language. Accuracy depends heavily on audio quality, accents and background noise, so video translation AI output should be reviewed by a linguist before the file is published or distributed.
AI simultaneous interpretation works reasonably for internal webinars and town halls where an occasional error is tolerable. It is not suitable for court hearings, arbitration, medical consultations or contract negotiations, where a mistranslated sentence carries consequences and a Ministry of Justice recognised human interpreter is required.
The engine translates a 50,000-word document in minutes. Post-editing is what sets the real timeline, typically 4,000 to 6,000 words per linguist per day for full post-editing and faster for light. A coordinator confirms the delivery window when quoting, and can split large batches across several post-editors.
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