Designing a Small Language Model Lexicon in Natural Language for Robotic Applications

Abstract

In this paper, the aim is to present a project report of a method, based on which a small natural language lexicon is designed, or otherwise a small language model, for robotic applications. In this direction, a reference is made to Controlled Natural Languages, and their characteristics are determined for application in operational robotic vehicles. In addition, criteria are established for the selection of the nationality of the language, which constitutes the basis of the lexicon. A small introspection is made in the natural language unit of a human–robot interface, and a method is presented that examines the adequacy of the selected language in relation to the purpose of use of the system and the control criteria. The use of the lexicon’s method is presented, and an example of the analysis and inclusion of selected Greek language words is given. The reproduction of words from the lexicon’s stored data is also explained, as the reverse process that functions as a confirmation of the method. 

Received: 22 August 2025 | Revised: 20 April 2026 | Accepted: 12 October 2026

Conflicts of Interest 

The authors declare that they have no conflicts of interest to this work. 

Data Availability Statement 

Data sharing is not applicable to this article as no new data were created or analyzed in this study. 

Author Contribution Statement

Ioannis Giachos: Conceptualization, Methodology, Software, Investigation, Resources, Writing – original draft, Visualization. Evangelos Papakitsos: Conceptualization, Methodology, Investigation, Resources, Writing – original draft. Nikoletta Samaridi: Investigation, Resources, Data curation. Michail Papoutsidakis: Validation, Formal analysis. Nikolaos Laskaris: Writing – review & editing, Supervision.