Papers by Kyle Wong
Massively Multilingual Pronunciation Modeling with WikiPron (2020.lrec-1)
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Jackson L. Lee, Lucas F.E. Ashby, M. Elizabeth Garza, Yeonju Lee-Sikka, Sean Miller, Alan Wong, Arya D. McCarthy, Kyle Gorman
| Challenge: | WikiPron is an open-source command-line tool for extracting pronunciation data from Wiktionary . the tool generates a database of 1.7 million pronunciations from 165 languages . |
| Approach: | They propose a command-line tool for extracting pronunciation data from Wiktionary . they use it to generate a database of 1.7 million pronunciations from 165 languages . |
| Outcome: | The proposed software generates a database of pronunciations for 165 languages . the proposed model is then validated by a grapheme-to-phoneme model . |
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models (2024.findings-acl)
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| Challenge: | Known-unknown questions are characterized by high uncertainty due to the absence of definitive answers. |
| Approach: | They introduce a dataset with known-unknown questions and establish a categorization framework to clarify the origins of uncertainty in such queries. |
| Outcome: | The proposed model improved in distinguishing between known and unknown queries within open-ended question-answering scenarios. |
Investigating the Transferability of Code Repair for Low-Resource Programming Languages (2025.findings-naacl)
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| Challenge: | Large language models (LLMs) have shown remarkable performance on code generation tasks. |
| Approach: | They investigate the benefits of distilling the ability to repair code for both high and low resource languages to determine if the techniques are also applicable in low resource settings. |
| Outcome: | The proposed techniques are effective in high- and low-resource languages, but weak in low-level languages. |