Leveraging Large Language Models for Automated Validation of Unicode Locale Data

[preetsojitra2712]

I am Preet Sojitra, currently pursuing a Master's degree in Computer Science at the University of California, Riverside. My deep interest lies in leveraging advanced machine learning techniques, particularly Large Language Models (LLMs), to solve complex data validation problems. For my proposal, I aim to automate and improve the quality control process for Unicode's locale data using LLM capabilities. My goal is to significantly enhance data reliability while reducing manual verification efforts.

Here's the structured approach I will follow:

Understand the Locale Data and ToolsI'll begin by thoroughly reviewing Unicode's CLDR/ICU locale datasets, understanding their structure, and how they interact with existing algorithms and applications.

Design Effective LLM QueriesI'll develop and test queries tailored specifically for LLMs, ensuring the responses align closely with expectations derived from Unicode’s datasets.

Comparative AnalysisI will systematically compare the results generated by LLMs against existing CLDR/ICU datasets, focusing on identifying inconsistencies and potential errors.

Denoising and Issue IdentificationAfter identifying discrepancies, I will refine the data outputs, clearly document serious issues, and prepare actionable reports for review by Unicode translators.

Automation and IntegrationI will automate this validation workflow, aiming for a streamlined, repeatable system that can be easily integrated into Unicode’s existing processes.

Documentation and GuidelinesComprehensive documentation and clear guidelines will be developed to facilitate continued maintenance, enhancements, and usage of this validation pipeline.

Please share your feedback and suggestions!

Thank you,
Preet Sojitra

[sffc]

Hi, Preet: thanks for your interest in Unicode. A compelling proposal will showcase your qualifications for completing the project on time and with high quality, with specifics on the deliverables and a roadmap for how you plan to deliver them. A focused, concise proposal is often better than a wordy, verbose one.