  We provide an overview of the hybrid compositional distributional model of
meaning, developed in Coecke et al. (arXiv:1003.4394v1 [cs.CL]), which is based
on the categorical methods also applied to the analysis of information flow in
quantum protocols. The mathematical setting stipulates that the meaning of a
sentence is a linear function of the tensor products of the meanings of its
words. We provide concrete constructions for this definition and present
techniques to build vector spaces for meaning vectors of words, as well as that
of sentences. The applicability of these methods is demonstrated via a toy
vector space as well as real data from the British National Corpus and two
disambiguation experiments.
