3 years ago

Language as a matrix product state.

John Terilla, Vasily Pestun, Yiannis Vlassopoulos

We propose a statistical model for natural language that begins by considering language as a monoid, then representing it in complex matrices with a compatible translation invariant probability measure. We interpret the probability measure as arising via the Born rule from a translation invariant matrix product state.

Publisher URL: http://arxiv.org/abs/1711.01416

DOI: arXiv:1711.01416v1

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