When Gašper Beguš began studying linguistics, he spent his time deciphering ancient, largely dead languages. “Nobody cared about linguistics,” he says in this episode of 101 in 101, a series from UC Berkeley that challenges professors and other experts to distill the basics of their field of study into only 101 seconds.
But today, linguistics sits at the crossroads of numerous disciplines, including biology, law and computer science. Colleagues from across academia are suddenly interested in leveraging what linguisticians have learned.
“The machine learning people really want to know how we do things,” says Beguš, an associate professor of linguistics at Berkeley. So do lawyers, biologists and others.
And Beguš, for his part, wants to know how the machines learn. In his lab, he’s working with an artificial intelligence that has been built to listen and then mimic the sounds it hears, much like a human infant.
The artificial intelligence system might help shed light on how we learn our first words and construct our first sentences.
“There’s still so many unknowns about how we are able to learn language,” says Beguš.