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Mathematicae Lingua Franca: Bridging the Linguistic Gap Between the Mathematician and the Machine

Project description

Proof assistant technology for use by mathematicians

Proof assistants have seen growing adoption among researchers and scientists in recent years, thanks to their ability to efficiently formalise large bodies of mathematics. They have been used to certify major results such as the Scholze liquid tensor challenge and the Kepler conjecture. However, current proof assistants are limited to formal settings and cannot process the flexible, semi-formal language commonly used by mathematicians. The ERC-funded MALINCA project aims to develop a new proof assistant technology that preserves the precision of formal language and mathematical meaning while incorporating greater versatility. It will be designed to understand and represent the dynamic linguistic structures mathematicians use in practice.

Objective

In the recent years, proof assistants have shown their astounding ability to tackle the complete formalisation of large pieces of mathematics, with the celebrated certifications of the Feit-Thompson theorem, of the Kepler conjecture, and more recently, the resolution of Scholze liquid tensor challenge. We believe that the time is ripe to demonstrate that they can tackle mathematics in the flexible and semi-formal way it is created and exchanged by the mathematicians. To that purpose, we aim to develop proof assistant technologies of an entirely new nature, including a formal language and a foundational approach to mathematical meaning, with the versatility necessary to represent the dynamic linguistic structures to be found in the daily practice of mathematics. The result will be a linguistic front-end that will allow mathematicians, and scientists in general, to express in proof assistants their proofs and computations the semi-formal way they think of them. Three research tracks stand out: the mathematical and linguistic foundations; formalisation of real-world vernacular mathematics into a high-level language of representation (Godement challenge); new techniques and software tools, based on natural language processing, to automate the formalisation process. The translation in the machine of semi-formal mathematics needs to go beyond the traditional view that reduces reasoning to logic, and requires to understand the dynamics of the discursive linguistic process which underlines mathematics. Building on advances of linguistics, mathematical logic, programming language semantics and machine learning, we will contribute significantly to the rise of a new generation of proof assistants, integrating at their heart a linguistic layer and automated guidance tools for mathematical proofs, theorems and definitions. The resulting high-level manipulation of concepts will lead to novel research outcomes supporting the daily activity of mathematical scientists.

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-ERC-SYG - HORIZON ERC Synergy Grants

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Call for proposal

(opens in new window) ERC-2024-SyG

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Host institution

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
Net EU contribution
€ 4 905 240,00
Address
DOMAINE DE VOLUCEAU ROCQUENCOURT
78153 Le Chesnay Cedex
France
Region
Ile-de-France Ile-de-France Yvelines
Activity type
Research Organisations
Links
Total cost
€ 4 905 240,00

Beneficiaries (4)