Construction Grammar and Artificial Intelligence
Not on the map. Why?
Abstract (arXiv)
In this chapter, we argue that it is highly beneficial for the contemporary construction grammarian to have a thorough understanding of the strong relationship between the research fields of construction grammar and artificial intelligence. We start by unravelling the historical links between the two fields, showing that their relationship is rooted in a common attitude towards human communication and language. We then discuss the first direction of influence, focussing in particular on how insights and techniques from the field of artificial intelligence play an important role in operationalising, validating and scaling constructionist approaches to language. We then proceed to the second direction of influence, highlighting the relevance of construction grammar insights and analyses to the artificial intelligence endeavour of building truly intelligent agents. We support our case with a variety of illustrative examples and conclude that the further elaboration of this relationship will play a key role in shaping the future of the field of construction grammar.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 2 of its 71 references that are in the map. First posted on arXiv 31 Aug 2023.
Builds on
2 of 71 references.
References · 2
- 2015A Roadmap towards Machine Intelligencecited by 15
- 2022Usage-based learning of grammatical categoriescited by 3
Built on by
Citing papers per year: 2023: 1; 2024: 1; 2025: 1; 2026: 2.
5 papers.
- 2023Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligencecited by 15
- 2025A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunitiescited by 2
- 2024The Computational Learning of Construction Grammars: State of the Art and Prospective Roadmapcited by 1
- 2026Leveraging Lora Fine-Tuning and Knowledge Bases for Construction Identificationcited by 1
- 2026Evolving language compositionality in a frequency-structured meaning spacecited by 0
- 2026Evolving language compositionality in a frequency-structured meaning space31 Jul 2026
- 2026Leveraging Lora Fine-Tuning and Knowledge Bases for Construction Identification19 Jan 2026
- 2025A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities11 Jul 2025
- 2024The Computational Learning of Construction Grammars: State of the Art and Prospective Roadmap10 Jul 2024
- 2023Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence24 Sep 2023