SlatorPod

#38 MT with Adam Bittlingmayer, Lokalise Series A, the “Outperforming Humans” Claim

September 11, 2020 Slator
SlatorPod
#38 MT with Adam Bittlingmayer, Lokalise Series A, the “Outperforming Humans” Claim
Show Notes Chapter Markers

In SlatorPod’s second guest episode, Florian and Esther are joined by former Google Translate developer and ModelFront founder and CEO Adam Bittlingmayer to discuss machine translation, machine translation risk prediction, how LSPs should leverage MT, how big tech thinks about MT, and much more.

Your two hosts first talk about localization SaaS startup Lokalise — which announced a USD 6m in Series A funding this week — and their decidedly corporate (read not LSP)-focused customer base

Florian talks about Google’s foray into telehealth via a USD 100m partnership with Amwell, bringing together Amwell’s video platform and Google’s NLP and machine translation know-how to compete with the likes of Stratus, LanguageLine and Boostlingo. 

He and Esther delve into a new research paper’s claims that MT OUTperforms humans (within a very specific set of parameters) and Esther shares localization insights from digital healthcare company Babylon Health, which provides accessible healthcare services in 15 languages across 13 countries.  

Lokalise USD 6M Series A
Google Brings 100M and Translation to Telehealth
Claim of MT "Outperforming" Pro Translators
Localization at Babylon Health
Adam Bittlingmayer joins SlatorPod
Adam's background and Modelfront origin
Modelfront explained
State of MT in 2020
Big Tech and MT
Facebook's MT Challenge
How LSPs use MT
GPT-3
The "Outperform" Claim