Developing a Mature Machine Translation Strategy | David McNamee | Straker Translations
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Developing a Mature Machine Translation Strategy | David McNamee | Straker Translations
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In this episode titled Developing a Mature Machine Translation Strategy, our host Gianluca Savenije interviews Straker Lingotek Solutions Engineer, David McNamee.
Learn about the future of machine translation, what companies should use machine translations for, the different types of machine translations, and more.
Lingotek's cloud-based translation management solution easily connects your content with the technology and professionals to bring your message to life in new markets.
Chapters:
0:00 Introductions.
4:42 Machine translation overview.
8:28 Evolution of machine translation.
11:09 What works in machine translation?
18:52 How do we evaluate machine translation quality?
23:36 How to keep up to date with machine translation.
28:17 How is translation memory being used?
35:40 The future of machine translation.
About David McNamee
David McNamee is a language technology specialist and Solutions Engineer for Straker Lingotek. A recovering software engineer, David has extensive experience across multiple industries in enterprise productivity and collaboration tools, and driving digital transformation initiatives.
About Gianluca Savenije
Gianluca is the Business Development Director - North America for Straker, combining his passion for languages and technology to find creative solutions for clients of all sizes. He grew up hopping in between the US and Europe and quickly became fluent in four languages.
Having lived in 12 different cities across 7 different countries, Gianluca truly knows the importance of language. After University, Gianluca began his career in business language training before moving to Barcelona to work for Straker. At Straker, he has had several roles across the technology and client facing teams in Europe.
Since 2010, Straker has been leading the way in blending human and machine intelligence to increase speed, reduce complexity and cost in translations.
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