Multilingual Text Automation
Multilingual text automation refers to the use of technologies to automatically create and adapt texts in different languages. It combines the advantages of text automation with the need to address global target groups in their respective languages.
The core functions of multilingual text automation include:
- Automatic translation: Use of machine translation (MT) such as GPT and DeepL to translate texts into many languages.
- Data-to-text automation: Automated creation and updating of texts in different languages based on structured data. This enables the centralised definition of what will later be produced on a large scale with many variants.
- Localisation: Adaptation of content to the cultural and linguistic characteristics of the respective target group in order to achieve greater interaction and relevance.
- Centralised control: Management of translation processes and terminology via a central platform to ensure consistency and quality.
- Integration of translation processes: Combination of different translation methods such as machine translation, human translation and data-to-text in one workflow.
The advantages of multilingual text automation are manifold:
- Efficiency: Acceleration of translation processes and reduction of manual effort.
- Scalability: Enables the creation and maintenance of content in many languages for a wide range of products.
- Cost savings: Reduction of translation costs through the use of machine translation and centralised management of translation content.
- Consistency: Standardised approach in all languages thanks to centralised control of terminology and content.
- Faster time to market: Enables the rapid translation and provision of content in new markets.
Multilingual text automation is particularly important for e-commerce companies that operate internationally and need to offer their product communication in different languages. It makes it possible to automatically translate and adapt product descriptions, marketing materials and other content into different languages in order to effectively address global customers.