From search engines to voice assistants, computers are getting better at understanding what we mean. That’s thanks to language-processing programs that
Language-processing programs infer the meaning of words through statistics, and this computational approach can assign many kinds of information to a single word, just like the human brain, according to new MIT research.
The study, published April 14, 2022, in the journal Nature Human Behavior, was co-led by Gabriel Grand, a graduate student at MIT’s Computer Science and Artificial Intelligence Laboratory, and Idan Blank, an assistant professor at the University of California, Los Angeles, and supervised by McGovern Investigator Ev Fedorenko, a cognitive neuroscientist who studies how the human brain uses and understands language, and Francisco Pereira at the National Institute of Mental Health. Fedorenko says the rich knowledge her team was able to find within computational language models demonstrates just how much can be learned about the world through language alone.
In the past few years, artificial intelligence models of language have become very good at certain tasks. Most notably, they excel at predicting the next
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