This project aims to develop an open source prototype that allows simple text messages to be translated and forwarded through an existing messaging system (e.g. SMS, Whatsapp, Signal, Telegram). This prototype will be based on a combination of a context-specific translation memory on the one hand (i.e. a database of text messages and professional translations in the supported languages) and machine translation on the other. The prototype is built according to a two-step logic: (1) priority translations are generated based on the context-specific translation memory; (2) if the text message has not been previously translated or the target language is not available, the messages are generated via machine translation.
This interdisciplinary project combines methods from etnography and translation technology. It is a close collobaration between two research groups: MULTIPLES (July De Wilde, Katrijn Maryns and Ella van Hest) and LT3 (Lieve Macken, Arda Tezcan and Michael Lumingu).
The project is funded by the European Union.