THE ARTIFICIAL BOOTHMATE

We develop and study artificial intelligence-enhanced interpreting tools. At our center, we developed the first prototype of an artificial boothmate in 2017* and are still working on new prototypes, for example ABM-SCI, a tool designed for training.

Computer-assisted interpreting (CAI) tools support professional interpreters during several phases of their work, from preparing for a highly specialized event to seeking automated support while interpreting. We are intensively working on several aspects of CAI tools: we design and develop them, test human-machine interaction, create training material to learn how to use them.

Some of our projects:

  • A free version of our AI-enhanced CAI tool using Automatic Speech Recognition for numbers is available here.
  • We designed InterpretBank, the leading AI-enhanced CAI-tool on the market. Now a commercial product.
  • ABM-SCI: a dedicated Artificial Boothmate designed for the classroom. Available here.
  • We are a research partner of the EABM project. The Ergonomics for the Artificial Booth Mate (EABM) project aims at studying and designing the ergonomics of future CAI tools. The University of Ghent and the Johannes Gutenberg University of Mainz have initiated a survey among professional interpreters to analyze the UI and UX of the digital boothmate. We have conducting a large scale experimental test with the DG Interpretation of the European Commission.

The EABM project is funded by the European Commission (DG Interpretation).

 

If you are interested in papers showing how the use of such tools influence the interpreter renditions, see:

Defrancq B., Fantinuoli, C (2020) "Automatic speech recognition in the booth. Assessment of system performance, interpreters’ performances and interactions in the context of numbers". Target.

Pisani E., Fantinuoli C. (2021) "Measuring the impact of automatic speech recognition on interpreter’s performances in simultaneous interpreting", In: Empirical studies of translation and interpreting: the post-structuralist approach, Edited by Caiwen Wang and Binghan Zheng, Routledge

*Fantinuoli C. (2017) "Speech Recognition in the Interpreter Workstation". Proceedings of the Translating and the Computer 39, 25-34.

A complete list of papers around CAI tools written by our team is available here.