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Technology Quarterly: Finding a Voice
Article

Technology Quarterly: Finding a Voice

Computers have got much better at translation, voice recognition and speech synthesis, says Lane Greene. But they still don’t understand the meaning of language.


автоматическое преобразование текста в аудио
автоматическое преобразование текста в аудио

Editorial Rating

8

Qualities

  • Comprehensive
  • Scientific
  • Applicable

Recommendation

From Terminator and I, Robot to Ex Machina and Blade Runner, many films have imagined the existence of human-like, intelligent machines. While artificial intelligence has been making huge progress, one area stubbornly remains the domain of humans: the ability to understand the meaning of language. Lane Greene, deputy editor for books and arts for The Economist and author of You Are What You Speak, looks at language technology research and its many obstacles and challenges. getAbstract recommends this article to anyone fascinated by the future of language technologies.

Take-Aways

  • Real progress in language technologies began with the availability of powerful processors and large amounts of data. 
  • To recognize speech and match sounds to words, machines need “training” data from recordings and transcriptions.
  • Speaking and translating technologies struggle to imitate humans since both depend upon an understanding of the real world.

About the Author

Lane Greene is The Economist’s deputy editor of books and arts, and author of You Are What You Speak, a book about the politics of language around the world.


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