Abstract

Distributional semantics is an area of corpus linguistics and computational linguistics that seeks to model the meanings of words by producing a semantic space that captures the distributional properties of those words within a corpus. In this paper, I provide an overview of distributional semantic models, including a broad sketch of how such models are constructed. I then outline the reasons for and against the claim that distributional semantic models can serve as a theory of meaning, paying special attention to those within the field who have defended this claim. Finally, I conclude by arguing that despite the fact that such models are holistic, they nevertheless avoid the objections raised against holistic theories of meaning, particularly from Fodor & Lepore (1992) (Holism: a shopper’s guide. Blackwell, 1992) and Fodor & Lepore (1999).