What is augmented translation?

Augmented translation with AI-supported post-editing boosts productivity and improves consistency. Augmented translation is the use of advanced machine translation systems, supported by artificial intelligence (AI), to generate draft translations that are then fine-tuned by human translators. This method not only speeds up the translation process, but also improves the quality and consistency of the final text.

Advantages of neural machine translation (NMT)

NMT systems, which are based on neural networks, have proven to be significantly more accurate than their predecessors. They are able to understand context and handle complex language structures, resulting in more natural and fluent translations. They can also be configured to follow sector- or industry-specific glossaries. However, they can still make mistakes, especially with highly specialised technical texts.

The role of post-editing

This is where post-editing comes in. Qualified human translators proofread and correct the translations generated using NMT, ensuring that the final result is of the desired quality. This two-pronged approach takes advantage of the best of both worlds: the speed of AI and the reliability of human judgement.

AI tools

The rapid development of large language model (LLM) functionalities over the last two years has enabled the integration of artificial intelligence-powered functionalities that support and facilitate human post-editing. These functions include:

• Machine translation quality estimation. AI systems can assess the quality and consistency of machine translations, accurately predicting the amount of editing required for each segment. This evaluation is based on advanced algorithms that assess the reliability of the machine translation by identifying the segments that need to be checked carefully.
• Language optimisation tools provide assistance in fine-tuning aspects such as the degree of formality, the use of inclusive language where required, the use of simplified language if deemed necessary, localisation to regional variants, as well as including support to ensure consistency with style guides.
• Artificial intelligence-powered term extraction, saving a considerable amount of time and effort compared to traditional manual procedures.
• SEO support for translated content.

For marketing professionals and technical office managers, augmented translation delivers a number of key benefits:

• Deadlines: significantly reduces delivery times.
• Quality: improves the accuracy and consistency of translations.
• Cost: significant savings compared to the traditional translation process.
• Scalability: makes it easier to handle large volumes of content.

Augmented translation with AI support is emerging as an essential solution for companies that are seeking to expand globally and need fast and accurate technical translations. If they want to remain competitive, companies cannot afford to overlook these technologies in their localisation and translation processes.

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