How Translators Are Harnessing the Power of AI

Translation has entered a new era: powered by AI, translators can now work faster and achieve higher-quality results than ever before. However, despite AI’s capabilities, human translators remain indispensable when it comes to ensuring that the final translation is accurate and impactful in every sense. In the same way that medical professionals such as radiologists and pathologists use AI to improve diagnostic precision, translators have developed advanced AI workflows to increase the accuracy and quality of their work.

Here are five ways that professional translators are leveraging AI to provide added value for their clients.

1. Human-first translation augmented by AI improves quality.

These days, “human-in-the-loop” is not enough and the idea of “translator-in-command” has taken hold. In a hybrid model, the translator provides a draft of the translation and refines it based on AI output. Recent studies, such as this article published in the journal Nature, argue that the human-first, AI-augmented workflow outperforms humans on many measures. This is because the translator is generally more engrossed in the translation process as they translate sentence by sentence or paragraph by paragraph, sometimes looking ahead in the text as they translate to gain clarity and get more context.

Doing it the other way around―known in the industry as “post-editing”―results in a translation that “sounds good” but is often rife with errors and inconsistencies. Although it increases speed, with AI-first translation, a translator must “look behind” in the translation to ensure that translations are consistent, but it is difficult to say with certainty whether the proposed translation was the best translation from the start. It is not a given, especially when under time constraints.

Furthermore, giving translators more time and the freedom to translate from scratch ensures that you’ll get a translation that is not only accurate, but also original.

To learn more about the drawbacks of post-editing, check out this article on the Word+Style blog.

2. Professional translators are able to quickly spot the slip-ups in an AI-generated translation.

It goes without saying that translating with AI alone, with no human intervention, decreases confidence when it comes to translation. Here are just some of the common mistakes that AI makes when translating:

• Lacks emotional intelligence and doesn’t grasp cultural references.
• Doesn’t respect stylistic preferences such punctuation and spelling conventions, such as removing the space before a colon when translating from French to English or using Canadian English spellings versus American spellings.
• Translates verb tenses incorrectly or literally from the source text, whereas verb tenses differ from one language to the next.
• Lacks awareness of gender and number (masculine versus feminine and singular versus plural).
• Produces slight shifts in meaning.
• Translates idiomatic expressions literally, as well as words with multiple meanings (polysemy). The result is often a nonsensible translation where a human translator is able to determine exactly which meaning of a polysemous word is being used based on its context.
• When the original text is poorly written, AI will translate literally and the resulting translation will be unnatural and stilted as it copies the source text.

Moreover, AI doesn’t catch errors, inconsistencies or ambiguities in the source text to prevent them from being reproduced in the translation. This is a major benefit that human translators bring to the table for their clients.

3. Professionally trained translators use additional translation tools to avoid costly errors.

To ensure that every element of a sentence is translated properly, translators use computer-assisted translation tools (CAT tools) which put the source and target texts side by side in the same interface. Client termbases can also be integrated into the CAT tool, as well as AI capabilities, which results in even better quality.

New tools are also being developed to make professional human translators more productive. When combined with CAT tools, this tech stack help translators maintain terminology databases, detect inconsistent translations, compare multiple possible translations, identify culturally problematic wording, check a document against a client’s preferred style and remember how a particular organization translates recurring terms.

Read more about the ways in which professional translators integrate human expertise with machine translation technology in this article on the Word+Style website.

4. Human translators maintain confidentiality when using AI.

To maintain privacy and address security risks, professional translators use software and translation technology that use an API to protect data when using an AI model (such as OpenAI). When using computer-assisted translation tools, the CAT tool communicates with the API over an encrypted connection, normally HTTPS/TLS, so the text isn’t simply sent across the internet as readable data.

Professionals also never put confidential client material into an unapproved consumer tool, such as browser-based AI tools like ChatGPT. In some cases, translators will minimize the information sent to the AI. If the client permits it, they can remove names, addresses, account numbers, case numbers, proprietary terminology and other identifying information before submitting text.

All that to say that maintaining human oversight in the translation process is crucial, as confidentiality isn’t the only risk: AI can introduce translation errors or expose sensitive information through prompts and outputs.

Lastly, in cases where AI is prohibited, a professional translator’s full skillset becomes highly critical.

5. Professional translators are able to ensure consistency throughout a translation by using anchor prompts and termbases.

As mentioned earlier, AI often produces inconsistencies in a translation by translating the same words or expressions differently throughout the same text, not to mention a set of documents.

With generative AI, translators are able to leverage “context sensitivity” whereby AI learns from the human translator’s actions and input. This is accomplished by using anchor prompts which involves providing a short instruction about the context and desired style, as well as feeding the AI different inputs. These data inputs range from lists of bilingual terms, acronyms, names and titles to translation memories and full reference documents. As a result, the AI stays oriented toward a particular goal, style, role or set of constraints throughout the conversation.

Using anchor prompts and the data at their disposal, the translator spends less time repeatedly specifying the rules and more time reviewing the actual translation, thereby improving its overall quality.

Conclusion

AI is changing the translation industry, but it does not change what clients ultimately need: a translation that is accurate, natural, consistent, culturally appropriate and fit for its intended purpose.

The real advantage comes from combining the strengths of both human and AI capabilities. AI can help a translator work faster, explore alternatives, maintain consistency and manage large volumes of information, but the tools are flawed. Professional translators bring the expertise and judgment needed to recognize errors, resolve ambiguity, understand nuance and ensure that the final text communicates exactly what their clients intend to say.

For clients, this human-AI partnership means more than simply faster translation. It means having a professional who knows when AI can help, when it cannot be trusted, and when human expertise must take over. It means technology is being used strategically and securely, while accountability for the final translation remains with a qualified human.

Ultimately, the question is no longer whether translators use AI, but how they use it. A professional translator who combines advanced technology with linguistic expertise and careful human oversight can offer clients the efficiency of AI without compromising the quality, precision and judgment that professional translation demands. In an increasingly AI-driven world, that combination is not a replacement for professional translation—it is what makes professional translation even more valuable.