mlsanityData to 14 Oct 2026

Coherency through formalisations of Structured Natural Language, A case study on FRETish

arXiv 2605.10462 ↗First posted 11 May 2026cs.CL cs.LOcited by 0

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Abstract (arXiv)

Formalisation is the process of writing system requirements in a formal language. These requirements mostly originate in Natural Language. In the field of Formal Methods, formalisation is often identified as one of the most delicate and complicated steps in the verification process. Not seldomly, formalisation tools and environments choose various levels of requirement descriptions: Natural Language, Technical Language, Diagram Representations and Formal Language, to mention a few. In the literature, there are various maxims and principles of good practice to guide the process of requirement formalisation. In this paper we propose a new guideline: Coherency through Formalisations. The guideline states that the different levels of formalisation mentioned above should roughly follow the same logical structure. The principle seems particularly relevant in the setting where LLMs are prompted to perform reasoning tasks that can be checked by formal tools using Structured Natural Language to act as an intermediate layer bridging both paradigms. In the light of coherency, we analyze NASA's Formal Requirement Elicitation Tool FRET and propose an alternative automated translation of the Controlled Natural Language FRETish to the formal language of MTL. We compare our translation to the original translation and prove equivalence using model checking. Some statistics are performed which seem to favor the new translation. As expected, the translation process yielded interesting reflections and revealed inconsistencies which we present and discuss.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 48 references that are in the map. First posted on arXiv 11 May 2026.

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7 of 48 references.

References · 7

  1. 2023nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Modelscited by 60
  2. 2022Formal Specifications from Natural Languagecited by 33
  3. 2019Specification Patterns for Robotic Missionscited by 16
  4. 2023Model-checking in the Foundations of Algorithmic Law and the Case of Regulation 561cited by 3
  5. 2022A Compositional Proof Framework for FRETish Requirementscited by 2
  6. 2017The JKind Model Checkercited by 1
  7. 2019Controlled Natural Languages and Default Reasoningcited by 1

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  3. 2026Intent-aligned Formal Specification Synthesis via Traceable Refinement
  4. 2025Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference
  5. 2025HoarePrompt: Structural Reasoning About Program Correctness in Natural Language
  6. 2025Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks
  7. 2025RE-oriented Model Development with LLM Support and Deduction-based Verification
  8. 2026Beyond Type-checking: Towards Holistic Evaluation of Formal Specification Generation