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The Mathematics of Text Structure

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arxiv 1904.03478 v2 pith:W5C3Z3YC submitted 2019-04-06 cs.CL math.CTquant-ph

classification cs.CLmath.CTquant-ph
keywords meaningmeaningsdiscocattextmathematicalwordcompositionaldiscocirc
verification ladder T0 review T1 audit T2 compute T3 formal
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In previous work we gave a mathematical foundation, referred to as DisCoCat, for how words interact in a sentence in order to produce the meaning of that sentence. To do so, we exploited the perfect structural match of grammar and categories of meaning spaces. Here, we give a mathematical foundation, referred to as DisCoCirc, for how sentences interact in texts in order to produce the meaning of that text. First we revisit DisCoCat. While in DisCoCat all meanings are fixed as states (i.e. have no input), in DisCoCirc word meanings correspond to a type, or system, and the states of this system can evolve. Sentences are gates within a circuit which update the variable meanings of those words. Like in DisCoCat, word meanings can live in a variety of spaces e.g. propositional, vectorial, or cognitive. The compositional structure are string diagrams representing information flows, and an entire text yields a single string diagram in which word meanings lift to the meaning of an entire text. While the developments in this paper are independent of a physical embodiment (cf. classical vs. quantum computing), both the compositional formalism and suggested meaning model are highly quantum-inspired, and implementation on a quantum computer would come with a range of benefits. We also praise Jim Lambek for his role in mathematical linguistics in general, and the development of the DisCo program more specifically.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A Rose by Any Other Name Would Smell as Sweet: Categorical Homotopy Theory for Large Language Models

    cs.CL 2025-08 reject novelty 5.0 of 10

    The paper argues that LLM next-token distributions form Markov categories whose paraphrase equivalences can be studied by homotopy theory, but its main theorem is unsupported.

  2. Towards a Comparative Framework for Compositional AI Models

    cs.CL 2025-06 conditional novelty 5.0 of 10

    A categorical framework for compositional generalisation is applied to DisCoCirc models, showing quantum circuits outperform neural networks on systematicity while neural models overfit more.

  3. Quantum computing and artificial intelligence: status and perspectives

    quant-ph 2025-05 unverdicted novelty 3.0 of 10

    A broad expert white paper sets a European research agenda for combining quantum computing and AI, spanning quantum machine learning, AI-driven quantum control, and foundational questions.

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