Perhaps no other topic in the translation industry today is hotter than neural MT. The emergence of neural MT isn’t just the next step in machine translation; it’s a legitimate paradigm shift that that has the potential to affect—and challenge—virtually everyone in the language service industry.
How does neural MT differ from rule-based and statistical machine translation? What are its strengths and weaknesses? Why is it such a critical issue for LSPs? And will it ultimately be a benefit or a threat to human translation professionals?
These are some of the questions Renato Beninatto and Michael Stevens discuss in this week’s episode of Globally Speaking. As the first segment in a three-part series focusing on the rise of neural machine translation, our hosts discuss this important issue with some of the world’s leading authorities in the field. Guests include:
- Mike Dillinger, former President of the Association for Machine Translation for the Americas, and Manager, Taxonomy Team and Machine Translation at LinkedIn
- Marco Trombetti, tech entrepreneur in the language industry and co-founder, Pi Campus
- John Tinsley, CEO of Iconic Translation Machines
- Chris Wendt, Group Program Manager Machine Translation at Microsoft
Learn why our guests believe the future possibilities of neural MT will be a “huge improvement” over traditional machine translation.
Globally Speaking Radio, sponsored by RWS Moravia and Nimdzi.