mlsanityData to 7 Oct 2026

The Mathematics of Text Structure

arXiv 1904.03478 ↗First posted 6 Apr 2019cs.CL math.CT quant-phcited by 24

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Apr 2019.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 9; 2022: 3; 2023: 4; 2024: 2; 2025: 6.

24 papers.

Sort:

  1. 2021lambeq: An Efficient High-Level Python Library for Quantum NLPcited by 43
  2. 2021Compositionality as we see it, everywhere around uscited by 11
  3. 2022Quantum Natural Language Generation on Near-Term Devicescited by 10
  4. 2021Conversational Negation using Worldly Context in Compositional Distributional Semanticscited by 9
  5. 2021Grammar Equationscited by 7
  6. 2021Composing Conversational Negationcited by 7
  7. 2023Distilling Text into Circuitscited by 7
  8. 2021How to make qubits speakcited by 5
  9. 2022Language-independence of DisCoCirc's Text Circuits: English and Urducited by 5
  10. 2025Quantum computing and artificial intelligence: status and perspectivescited by 5
  11. 2021Talking Space: inference from spatial linguistic meaningscited by 4
  12. 2021A Categorical Semantics of Fuzzy Concepts in Conceptual Spacescited by 4
12 more
  1. 2025Quantum Natural Language Processing: A Comprehensive Review of Models, Methods, and Applicationscited by 4
  2. 2023A Pipeline For Discourse Circuits From CCGcited by 3
  3. 2024Quantum Algorithms for Compositional Text Processingcited by 3
  4. 2021Grover's Algorithm for Question Answeringcited by 2
  5. 2023Higher-Order DisCoCat (Peirce-Lambek-Montague semantics)cited by 2
  6. 2025A Rose by Any Other Name Would Smell as Sweet: Categorical Homotopy Theory for Large Language Modelscited by 1
  7. 2022Design and Implementation of a Quantum Kernel for Natural Language Processingcited by 0
  8. 2023Variational Quantum Classifiers for Natural-Language Textcited by 0
  9. 2024Density Matrices for Metaphor Understandingcited by 0
  10. 2025Quantum Methods for Managing Ambiguity in Natural Language Processingcited by 0
  11. 2025Efficient Generation of Parameterised Quantum Circuits from Large Textscited by 0
  12. 2025CLAQS: Compact Learnable All-Quantum Token Mixer with Shared-ansatz for Text Classificationcited by 0