AI at Melbourne Colloquium: Making Sense of Sparse Data with Maths and LLMs

Wed Oct 22 2025 at 11:00 am to 12:30 pm UTC+11:00

Melbourne Connect - Level 5, Steve Howard Room | Carlton

Melbourne Connect
Publisher/HostMelbourne Connect
AI at Melbourne Colloquium: Making Sense of Sparse Data with Maths and LLMs
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Discover how maths and AI can turn scarce, messy data into structured knowledge with Prof. Sebastien Christian
About this Event

The DIG4EL (Digital Inferential Grammars for Endangered Languages) method was developed to address a need: inferring the grammar of very low-resource languages from scarce, heterogeneous data, and making the process available at scale through software. DIG4EL has been adopted, and is now funded, by the CNRS, the French research agency.
The approach integrates Abstract Structural Representation, Bayesian inference with loopy belief propagation, LLM-augmented sampling with a Retrieval-Augmented Generation pipeline, and document vectorization, all coordinated by multi-agent LLM pipelines. Together, these components deliver descriptive capacity not previously achievable in such low-resource contexts.
Although motivated by endangered language research, the architecture is broadly applicable to domains where fragmented or noisy datasets must be transformed into structured knowledge.
This presentation will provide an overview of the method and results, with live demos highlighting each component and showing how the integration has been achieved, from mathematical foundations to LLM use to user interface, along with advice on leveraging the open-source code repository.

11:00 – 12:00pm Keynote Speaker and Q&A

12:00 – 12:30pm Networking and refreshments.
The AI at Melbourne Colloquium Series is a program of talks on the future of artificial intelligence at The University of Melbourne.


About the Speaker


Event Photos

Prof. Sebastien Christian

Sébastien Christian is currently pursuing a PhD at the University of French Polynesia. He is the creator and lead of DIG4EL, an open-source framework that describes the grammar of low-resource languages. Physicist and linguist by training, former startup founder and product line director, he has driven the invention and development of AI-driven products across healthcare, transportation, and energy. He is also the inventor on five U.S. patents in data interpretation, including two on grammar inference of non-verbal data.

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Event Venue & Nearby Stays

Melbourne Connect - Level 5, Steve Howard Room, 700 Swanston Street, Carlton, Australia

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