En-Shiun Lee, Ontario Tech University

Research

natural language processing low-resource language foundational model large language model neural machine translation multilingual dataset massively multilingual pre-trained language model pre-training

Latest funding

Multicultural and Multilingual Family Bonding and Knowledge Sharing Across Generations: A Culturally Responsive Approach to Generative AI Application
SSHRC · 2026 · Co-investigator
$95,974
Combating Chinese Foreign Information Manipulation and Interference
SSHRC · 2026 · Co-investigator
$99,035
A Novel Paradigm for Advancing Low-Resource Languages: Uncovering Factors and Expanding Large Language Models
NSERC · 2024 · Principal investigator
$12,500

All 4 grants and awards

Multicultural and Multilingual Family Bonding and Knowledge Sharing Across Generations: A Culturally Responsive Approach to Generative AI Application

Co-investigatorSSHRC2026Insight Development Grants

Principal investigators: Kuang, Emily

$95,974

Combating Chinese Foreign Information Manipulation and Interference

Co-investigatorSSHRC2026Insight Development Grants

Principal investigators: McQuinn, Brian

$99,035

A Novel Paradigm for Advancing Low-Resource Languages: Uncovering Factors and Expanding Large Language Models

Principal investigatorNSERC2024Discovery Launch Supplement

Principal investigators: Lee, En-Shiun

Keywords: natural language processing; low-resource language; foundational model; large language model; neural machine translation; multilingual dataset; massively multilingual pre-trained language model; pre-training; fine-tuning; prompt tuning

$12,500

A Novel Paradigm for Advancing Low-Resource Languages: Uncovering Factors and Expanding Large Language Models

Principal investigatorNSERC2024Discovery Grants Program - Individual

Principal investigators: Lee, En-Shiun

Keywords: natural language processing; low-resource language; foundational model; large language model; neural machine translation; multilingual dataset; massively multilingual pre-trained language model; pre-training; fine-tuning; prompt tuning

$31,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Mention their NSERC grant from 2024

Subject: Prospective PhD student: natural language processing Dear Professor Lee, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on natural language processing connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "A Novel Paradigm for Advancing Low-Resource Languages: Uncovering Factors and Expanding Large Language Models" (2024), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]