  Conceptual entanglement is a crucial phenomenon in quantum cognition because
it implies that classical probabilities cannot model non--compositional
conceptual phenomena. While several psychological experiments have been
developed to test conceptual entanglement, this has not been explored in the
context of Natural Language Processing. In this paper, we apply the hypothesis
that words of a document are traces of the concepts that a person has in mind
when writing the document. Therefore, if these concepts are entangled, we
should be able to observe traces of their entanglement in the documents. In
particular, we test conceptual entanglement by contrasting language simulations
with results obtained from a text corpus. Our analysis indicates that
conceptual entanglement is strongly linked to the way in which language is
structured. We discuss the implications of this finding in the context of
conceptual modeling and of Natural Language Processing.
