Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
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A new approach for detecting changes in word meaning over time
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Manage episode 475745053 series 3194633
Content provided by SciPod. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SciPod or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Words change their meanings over time, but tracking these changes has traditionally required painstaking manual analysis by linguists. In recent years, researchers have been using computational models to automatically detect when semantic change happens, and how much of a change has occurred. Recent research led by Associate Professor Nina Tahmasebi and her colleagues in the Change is Key! program introduces innovative computational methods for detecting qualitative features of semantic change, opening new possibilities for understanding language evolution at scale.
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520 episodes
MP3•Episode home
Manage episode 475745053 series 3194633
Content provided by SciPod. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SciPod or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Words change their meanings over time, but tracking these changes has traditionally required painstaking manual analysis by linguists. In recent years, researchers have been using computational models to automatically detect when semantic change happens, and how much of a change has occurred. Recent research led by Associate Professor Nina Tahmasebi and her colleagues in the Change is Key! program introduces innovative computational methods for detecting qualitative features of semantic change, opening new possibilities for understanding language evolution at scale.
…
continue reading
520 episodes
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