Spence Green is the co-founder and CEO at Lilt, the first human-in-the-loop machine translation platform that uses neural MT to augment the work of human translators. Spence graduated from Stanford with a PhD in computer science. His research area focused on the intersection of natural language processing and human-computer interaction. He has published papers on statistical machine translation, statistical language parsing, and mixed-initiative systems and given talks on translator productivity. Lilt drastically lowers the cost and timespan of effective translation services so more businesses can operate in more countries, and governments can better communicate with constituents. This opens new doors to the global knowledge economy, addresses modern pain points in democratic processes, and drives Lilt’s vision of making information accessible online to everyone, beyond a lingua franca.
Chapters:
- - Dave introduces the show and Spence Green
- - Spence's early experiences with and love of programming
- - Spence on running a business and not coding on a daily basis
- - The reasons for Lilt and motivations for making the world's knowledge and goodness more accessible
- - Origins of Spence's interests in natural languages
- - Spence's story of failure - many false starts on trying to figure out a working business model in a complex and challenging market
- - How Spence got involved with Google Translate
- - Spence on moving to the Bay area for graduate school
- - Spence's book recommendations
- - The things that have Spence most excited
- - Spence's top 3 tips for delivering more value
- - Keeping up with Spence and Lilt
Resources:
Spence's book recommendation:
Spence's top 3 tips for delivering more value:
- Learn how to write in a (different) language
- Embrace software maintenance
- There's a difference between software engineering and computer science