19 February 2020 | 1 hr 29 mins
geeks, language, technology
This episode is focussing on terp tech, why interpreters should care and how they can get proficient in using it. Josh Goldsmith - UN and EU accredited tech enthusiast (and longtime collaborator to one Alexander Drechsel) - is joining us to discuss these exact questions and talk about fascinating insights, from SimConsec on an iPad, to a new technology-focused Master's degree for interpreters and translators.
16 February 2017 | 30 mins
gender, interpreting, language, research
The three gentlemen have invited Camille Collard, an interpreter and researcher at Ghent University, to join them for a conversation about gender issues in interpreting. Is our profession female-dominated? Do men and women work differently? Listen in and find out.
22 August 2016 | 46 mins 17 secs
interpreting, language, ted
We welcome a very special guest: Ewandro Magalhaes. Ewandro tells us how he made his super-successful TED-Ed video "How interpreters juggle two languages at once".
9 June 2016 | 53 mins 48 secs
booth, interpreter, interpreting, language, manners
The three troublemakers dive into the pitfalls of booth manners and interpreter etiquette, sharing a few stories along the way. Listen in!
24 March 2016 | 48 mins 11 secs
conference, interpreting, language, translation
We have our first guest on the show, and it's Valeria Aliperta from Rainy London! Val and Jonathan talk about last week's TL Conference in Warsaw and the presentations they gave there.
2 March 2016 | 52 mins 20 secs
burnout, interpreter, interpreting, language, stress
In the second instalment of our podcast, we talk about stress and burnout among interpreters.
13 February 2016 | 28 mins 57 secs
babelfish, interpreting, language, technology
Welcome to the first and inaugural episode of Troublesome Terps, a roundtable podcast of interpreters who take issue with anything and everything and who are not afraid to go figuratively and boldly where no interpreter has gone before. I am joined by Jonathan Downie and Alexander Gansmeier. Our topic in this episode: machine interpreting.