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New algorithm discovers language just by watching videos


Mark Hamilton, an MIT PhD student in electrical engineering and computer science and affiliate of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), wants to use machines to understand how animals communicate. To do that, he set out first to create a system that can learn human language “from scratch.” “Funny enough, the key moment of inspiration came from the movie ‘March of the Penguins.’ There’s a scene where a penguin falls while crossing the ice, and lets out a little belabored groan while getting up.

“Funny enough, the key moment of inspiration came from the movie ‘March of the Penguins.’ There’s a scene where a penguin falls while crossing the ice, and lets out a little belabored groan while getting up. This method, called contrastive learning, doesn’t require labeled examples, and allows DenseAV to figure out the important predictive patterns of language itself. Historically researchers have relied upon expensive, human-provided annotations in order to train machine learning models to accomplish these tasks,” says David Harwath, assistant professor in computer science at the University of Texas at Austin who was not involved in the work.

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