# Construction Grammar and Artificial Intelligence

arXiv: https://arxiv.org/abs/2309.00135 · HTML: https://mlsanity.com/paper/2309.00135/

## 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 (most cited first, 2 of 2)

- [A Roadmap towards Machine Intelligence](https://mlsanity.com/paper/1511.08130/) (2015)
- [Usage-based learning of grammatical categories](https://mlsanity.com/paper/2204.10201/) (2022)

## Built on by (most cited first, 5 of 5)

- [Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence](https://mlsanity.com/paper/2309.14379/) (2023)
- [A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities](https://mlsanity.com/paper/2507.08425/) (2025)
- [The Computational Learning of Construction Grammars: State of the Art and Prospective Roadmap](https://mlsanity.com/paper/2407.07606/) (2024)
- [Leveraging Lora Fine-Tuning and Knowledge Bases for Construction Identification](https://mlsanity.com/paper/2601.13105/) (2026)
- [Evolving language compositionality in a frequency-structured meaning space](https://mlsanity.com/paper/2607.29642/) (2026)

## 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.