Distributional semantics

The distributional hypothesis in linguistics is derived from the semantic theory of language usage, i.e. words that are used and occur in the same contexts tend to purport similar meanings.

Although the Distributional Hypothesis originated in linguistics,[4][5] it is now receiving attention in cognitive science especially regarding the context of word use.

Distributional semantics favor the use of linear algebra as a computational tool and representational framework.

The basic idea of a correlation between distributional and semantic similarity can be operationalized in many different ways.

This work was originally proposed by Stephen Clark, Bob Coecke, and Mehrnoosh Sadrzadeh of Oxford University in their 2008 paper, "A Compositional Distributional Model of Meaning".

How words are related in a given language is demonstrated in the "semantic space", which mathematically corresponds to the vector space.