Language-independence of DisCoCirc's Text Circuits: English and Urdu
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Abstract (arXiv)
DisCoCirc is a newly proposed framework for representing the grammar and semantics of texts using compositional, generative circuits. While it constitutes a development of the Categorical Distributional Compositional (DisCoCat) framework, it exposes radically new features. In particular, [14] suggested that DisCoCirc goes some way toward eliminating grammatical differences between languages. In this paper we provide a sketch that this is indeed the case for restricted fragments of English and Urdu. We first develop DisCoCirc for a fragment of Urdu, as it was done for English in [14]. There is a simple translation from English grammar to Urdu grammar, and vice versa. We then show that differences in grammatical structure between English and Urdu - primarily relating to the ordering of words and phrases - vanish when passing to DisCoCirc circuits.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 7 of its 16 references that are in the map. First posted on arXiv 11 Aug 2022.
Builds on
7 of 16 references.
References · 7
- 2020Foundations for Near-Term Quantum Natural Language Processingcited by 51
- 2014The Frobenius anatomy of word meanings I: subject and object relative pronounscited by 24
- 2019The Mathematics of Text Structurecited by 24
- 2021Conversational Negation using Worldly Context in Compositional Distributional Semanticscited by 9
- 2021Grammar Equationscited by 7
- 2021Composing Conversational Negationcited by 7
- 2021Talking Space: inference from spatial linguistic meaningscited by 4
Built on by
Citing papers per year: 2023: 2; 2024: 0; 2025: 2; 2026: 1.
5 papers.
- 2023Distilling Text into Circuitscited by 7
- 2025Quantum Natural Language Processing: A Comprehensive Review of Models, Methods, and Applicationscited by 4
- 2023A Pipeline For Discourse Circuits From CCGcited by 3
- 2025Efficient Generation of Parameterised Quantum Circuits from Large Textscited by 0
- 2026Quantum Compositional NLP for Arabic: Grammar, Morphology, and Word Sense in Circuit Topologycited by 0
- 2026Quantum Compositional NLP for Arabic: Grammar, Morphology, and Word Sense in Circuit Topology2 May 2026
- 2025Efficient Generation of Parameterised Quantum Circuits from Large Texts19 May 2025
- 2025Quantum Natural Language Processing: A Comprehensive Review of Models, Methods, and Applications14 Apr 2025
- 2023A Pipeline For Discourse Circuits From CCG29 Nov 2023
- 2023Distilling Text into Circuits25 Jan 2023