Generative AI for Low-Resource NLP: Evaluating Khmer Data Generation for Homophone Spelling Correction

Authors

Madeth May (ORCID: https://orcid.org/0000-0002-8527-7345)
Seanghort Born (ORCID: https://orcid.org/0000-0003-0859-4627)
Sébastien Iksal (ORCID: https://orcid.org/0000-0002-3439-5667)
Claudine Piau-Toffolon (ORCID: https://orcid.org/0000-0002-8911-6995)

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2025-12-18
Primary Topic: Speech Recognition and Synthesis
Type: article
Field-Weighted Citation Impact: 0.00

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article

Generative AI for Low-Resource NLP: Evaluating Khmer Data Generation for Homophone Spelling Correction

Madeth May, Seanghort Born, Sébastien Iksal, Claudine Piau-Toffolon

Dec 18, 2025

SPIRE - Sciences Po Institutional REpository

Speech Recognition and Synthesis

article

Generative AI for Low-Resource NLP: Evaluating Khmer Data Generation for Homophone Spelling Correction

Madeth May, Seanghort Born, Sébastien Iksal, Claudine Piau-Toffolon

December 18, 2025article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

Quality Education

Openalex Percentile: Top 17%

Speech Recognition and Synthesis

OpenAlex

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Generative AI for Low-Resource NLP: Evaluating Khmer Data Generation for Homophone Spelling Correction — Madeth May, Seanghort Born, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS