I read a fascinating publication by Cambridge Quantum Computing using DisCoCat to model the interaction between language structure and meaning. What struck me about this work was the practicality of the use-case, escaping the well-worn path of sensationalism we so often encounter with quantum computing headlines. Instead, the researchers state a sober hypothesis:

“The true origin of this model was a purely practical concern, namely, it provided an answer to an important open question in the field of NLP: If we know the meanings of words, can we compute the meaning of a sentence that is made up of these…

Nathan Staffel

Data Science Consultant. Former FBI Agent. Writer and explorer of emerging technology.

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