CE#4

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MIT researchers have developed a “semantic parser” that learns through observation to more closely mimic a child’s language-acquisition process, which could greatly extend computing’s capabilities.

"Machines that learn language more like kids do

Computer model could improve human-machine interaction, provide insight into how children learn language."

They way that children learn is by exploring their environment. The touch everything and ask questions about every single thing they encounter. The way adults respond to these question, is what helps children develop their vocabulary as they grow up.
In computing, learning language is the task of syntactic and semantic parsers. These systems are trained on sentences annotated by humans that describe the structure and meaning behind words. 
The parser could also help researchers better understand how young children learn language. “A child has access to redundant, complementary information from different modalities, including hearing parents and siblings talk about the world, as well as tactile information and visual information, [which help him or her] to understand the world,” says co-author Boris Katz, a principal research scientist and head of the InfoLab Group at CSAIL.

source:
http://news.mit.edu/2018/machines-learn-language-human-interaction-1031


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