Computers are pretty great, and we use them for different language tasks every day. But teaching computers to understand language is surprisingly difficult! In this episode of Crash Course Linguistics, we’ll learn about programming computers to process human language, which is called computational linguistics, or natural language processing. We’ll look at the types of language tasks computers can and can’t do, how natural language processing works, as well as the different types of biases that exist in machine learning. Want even more linguistics? Check out the Lingthusiasm podcast, hosted by the writers of Crash Course Linguistics: https://lingthusiasm.com/ *** Watch our videos and review your learning with the Crash Course App! Download here for Apple Devices: https://apple.co/3d4eyZo Download here for Android Devices: https://bit.ly/2SrDulJ Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse Thanks to the following patrons for their generous monthly contributions that help keep Crash Course free for everyone forever: Eric Prestemon, Mark, DAVID MORTON HUDSON, Perry Joyce, Isaac Liu, Scott Harrison, Mark & Susan Billian, Junrong Eric Zhu, Alan Bridgeman, Jennifer Smith, Matt Curls, Tim Kwist, Jonathan Zbikowski, Jennifer Killen, Sarah & Nathan Catchings, Brandon Westmoreland, team dorsey, Trevin Beattie, Eric Koslow, Indika Siriwardena, Khaled El Shalakany, Shawn Arnold, Siobhán, Ken Penttinen, Nathan Taylor, William McGraw, Jirat, Brian Thomas Gossett, Ian Dundore, Jason A Saslow, Jessica Wode, Caleb Weeks __ Want to find Crash Course elsewhere on the internet? Facebook - http://www.facebook.com/YouTubeCrashCourse Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com/ Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: null