A Feature-Driven Tensor Semantics for Minimalist Grammars
Abstract
This paper shows how tensor-based distributional semantics can be incorporated into Minimalist Grammars. We embed the Minimalist feature calculus with a tensor algebra and give a joint tensor-based representation where compositional semantics is guided by the minimalist syntax. By bridging syntactic and semantic operations in tensor spaces, we aim to contribute to the broader enterprise of neurosymbolic approaches to linguistic cognition.
Keywords: Minimalist Grammars, Distributional Semantics, Compositionality, Tensors
How to Cite:
Paulson, J. E., De Santo, A. & Rawski, J., (2026) “A Feature-Driven Tensor Semantics for Minimalist Grammars”, Society for Computation in Linguistics 9(1). doi: https://doi.org/10.7275/scil.4032
Downloads:
Download PDF
82 Views
32 Downloads