Categorical tools for natural language processing

Thesis

This thesis develops the translation between category theory and computational linguistics as a foundation for natural language processing. The three chapters deal with syntax, semantics and pragmatics. First, string diagrams provide a unified model of syntactic structures in formal grammars. Second, functors compute semantics by turning diagrams into logical, tensor, neural or quantum computation. Third, the resulting functorial models can be composed to form games where equilibria are the solutions of language processing tasks. This framework is implemented as part of DisCoPy, the Python library for computing with string diagrams. We give a hierarchy of categorical and linguistic notions and an overview of their applications in compositional natural language processing.

Authors: de Felice, G

• DOI: 10.5287/ora-obvvkgarq
• Type of award: DPhil
• Level of award: Doctoral
• Awarding institution: University of Oxford
• Language: English
• Keywords: Python; category theory; formal grammar; NLP; quantum; pragmatics; formal semantics
• Subjects: Linguistics; Natural language processing (Computer science); Categories (Mathematics); Quantum theory