Bringing NL Back with P: Defending Linguistic Methods in NLP for Future AI Applications

Fabio Meroni, Fabio Meroni

2025

Abstract

In the development of Artificial Intelligence (AI) tools for Natural Language Processing (NLP) applications, this position paper promotes the (re)introduction of rule-based, linguistically informed methodologies, with particular attention to addressing the challenges posed by low-resource languages and research ethics when it comes to the enhancement of machine intelligence by means of linguistic intelligence. NLP, as a rapidly evolving subfield of AI, has seen a proliferation of contributions in recent years. However, the predominant reliance on statistically driven approaches has reduced NLP to a pursuit of superficial aesthetic results, neglecting the foundational linguistic structures that underpin natural language processing. Consequently, the marginalization of linguists within the field has stalled progress toward a deeper understanding of Natural Language Formalization (NLF). Without targeted intervention, these issues threaten to persist, undermining the potential of NLP to achieve its full intellectual and practical promise. This paper argues for a renewed integration of the science of natural language (NL) into its processing (P) within an interdisciplinary framework that emphasizes collaboration between computational linguists and AI researchers, and presents a methodological proposition of a possible way to include linguistic resources in a richly informed AI application using NooJ.

Paper Citation

in Harvard Style

Meroni F. (2025). Bringing NL Back with P: Defending Linguistic Methods in NLP for Future AI Applications. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 1062-1068. DOI: 10.5220/0013259100003890

in Bibtex Style

@conference{icaart25,
author={Fabio Meroni},
title={Bringing NL Back with P: Defending Linguistic Methods in NLP for Future AI Applications},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={1062-1068},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013259100003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Bringing NL Back with P: Defending Linguistic Methods in NLP for Future AI Applications
SN - 978-989-758-737-5
AU - Meroni F.
PY - 2025
SP - 1062
EP - 1068
DO - 10.5220/0013259100003890
PB - SciTePress