SlatorPod

#51 RWS’ Plans for SDL, Top 10 NMT Papers, Graduating Translation in 2020

December 11, 2020 Slator
SlatorPod
#51 RWS’ Plans for SDL, Top 10 NMT Papers, Graduating Translation in 2020
Show Notes Chapter Markers

The special guest for episode #51 is Slator’s very own Monica Jamieson, a new translation grad who joins the Pod to talk about why today’s 20-somethings are studying languages, and to offer tips on language industry job hunting during Covid-19.

Esther shares her key takeaways from SlatorCon Remote on December 3, 2020, which drew in +250 attendees from 30 countries, who tuned in to watch 6 CEOs, a CMO and 3 enterprise clients provide insights from their vantage points in the language industry. 

Florian talks about the top 10 most influential research papers on neural machine translation (NMT), based on Slator’s analysis of citation counts, which sparked some discussion on Twitter.

He also discusses the latest financial results from language data provider Appen, which downgraded its earnings guidance after a disappointing November, and from language service provider (LSP) RWS, which outlined its plans to integrate former rival SDL.

Agenda and Intro
SlatorCon Remote Highlights
Top 10 Neural Machine Translation Papers
Appen Downgrades 2020 Outlook
RWS's Plans for SDL
Monica joins the pod
Structure of an MA in Translation program
How much industry expertise should academic programs teach
State of job market for recent translation grads
Recent grads' thoughts on AI
Tips for grads on the job hunt