Hosted by former Marvel entertainment lawyer Paul Sarker and entertainment enthusiast Mesh Lakhani, Better Call Paul will delve into the business and legal issues at play behind the glitz and glam. This show takes you beyond the catchy headlines to find out what’s really at play behind the scenes and gives you an introduction to the business side of show business.
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24: Language and Entropy (Information Theory in Language)
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Manage episode 199763175 series 1358022
Content provided by Breaking Math, Gabriel Hesch, and Autumn Phaneuf. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Breaking Math, Gabriel Hesch, and Autumn Phaneuf 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://player.fm/legal.
Information theory was founded in 1948 by Claude Shannon, and is a way of both qualitatively and quantitatively describing the limits and processes involved in communication. Roughly speaking, when two entities communicate, they have a message, a medium, confusion, encoding, and decoding; and when two entities communicate, they transfer information between them. The amount of information that is possible to be transmitted can be increased or decreased by manipulating any of the aforementioned variables. One of the practical, and original, applications of information theory is to models of language. So what is entropy? How can we say language has it? And what structures within language with respect to information theory reveal deep insights about the nature of language itself?
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This episode is sponsored by
· Anchor: The easiest way to make a podcast. https://anchor.fm/app
Support this podcast: https://anchor.fm/breakingmathpodcast/support
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This episode is sponsored by
· Anchor: The easiest way to make a podcast. https://anchor.fm/app
Support this podcast: https://anchor.fm/breakingmathpodcast/support
133 episodes
MP3•Episode home
Manage episode 199763175 series 1358022
Content provided by Breaking Math, Gabriel Hesch, and Autumn Phaneuf. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Breaking Math, Gabriel Hesch, and Autumn Phaneuf 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://player.fm/legal.
Information theory was founded in 1948 by Claude Shannon, and is a way of both qualitatively and quantitatively describing the limits and processes involved in communication. Roughly speaking, when two entities communicate, they have a message, a medium, confusion, encoding, and decoding; and when two entities communicate, they transfer information between them. The amount of information that is possible to be transmitted can be increased or decreased by manipulating any of the aforementioned variables. One of the practical, and original, applications of information theory is to models of language. So what is entropy? How can we say language has it? And what structures within language with respect to information theory reveal deep insights about the nature of language itself?
---
This episode is sponsored by
· Anchor: The easiest way to make a podcast. https://anchor.fm/app
Support this podcast: https://anchor.fm/breakingmathpodcast/support
…
continue reading
---
This episode is sponsored by
· Anchor: The easiest way to make a podcast. https://anchor.fm/app
Support this podcast: https://anchor.fm/breakingmathpodcast/support
133 episodes
All episodes
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