Abstract

Poetry is rarely a focus of linguistic investigation. This is far from surprising, as poetic language, especially in modern and contemporary literature, seems to defy the general rules of syntax and semantics. In this talk, however, I will assume that linguistic theories should account for creative uses of language, down to their most difficult incarnations. I will propose that at the semantic level, what distinguishes poetry from other uses of language may be its ability to trace conceptual patterns which do not belong to everyday discourse but are latent in our shared language structure. Distributional semantics will provide a theoretical and experimental basis for this exploration.

The talk will first cover the notion of a specific ‘semantics of poetry’, with some help from literary criticism and philosophy. Distributionalism will then be introduced as a theory supporting the notion that the meaning of poetry comes from the meaning of ordinary language. I will provide experimental results showing that a) distributional representations can model the link between ordinary and poetic language, b) a distributional model can experimentally distinguish between poetic and randomised textual output, regardless of the complexity of the poetry involved, c) there is a stable, but not immediately transparent, layer of meaning in poetry, which can be captured distributionally, across different levels of poetic complexity.