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The Challenge of Neural MT: Part 1 [Podcast]

Posted by Libor Safar on Wed, Feb 01, 2017 @ 02:45 PM

Neural MT

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?

Globally Speaking RadioThese 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.

To listen to the episode, click “play” in the player below. You can also listen and subscribe to the podcast on iTunes, Google Play (USA or Canada), Stitcher, or via RSS.

To learn more about this program, go to www.globallyspeakingradio.com, where you can listen to and also download a full transcript of all episodes.

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Topics: Podcast