Prompt-based Explainable Quality Estimation for English-Malayalam

Archchana Sindhujan, Diptesh Kanojia, Constantin Orăsan


Abstract
The aim of this project was to curate data for the English-Malayalam language pair for the tasks of Quality Estimation (QE) and Automatic Post-Editing (APE) of Machine Translation. Whilst the primary aim of the project was to create a dataset for a low-resource language pair, we plan to use this dataset to investigate different zero-shot and few-shot prompting strategies including chain-of-thought, towards a unified explainable QE-APE framework.
Anthology ID:
2025.mtsummit-2.23
Volume:
Proceedings of Machine Translation Summit XX: Volume 2
Month:
June
Year:
2025
Address:
Geneva, Switzerland
Editors:
Pierrette Bouillon, Johanna Gerlach, Sabrina Girletti, Lise Volkart, Raphael Rubino, Rico Sennrich, Samuel Läubli, Martin Volk, Miquel Esplà-Gomis, Vincent Vandeghinste, Helena Moniz, Sara Szoc
Venue:
MTSummit
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
105–106
Language:
URL:
https://preview.aclanthology.org/mtsummit-25-ingestion/2025.mtsummit-2.23/
DOI:
Bibkey:
Cite (ACL):
Archchana Sindhujan, Diptesh Kanojia, and Constantin Orăsan. 2025. Prompt-based Explainable Quality Estimation for English-Malayalam. In Proceedings of Machine Translation Summit XX: Volume 2, pages 105–106, Geneva, Switzerland. European Association for Machine Translation.
Cite (Informal):
Prompt-based Explainable Quality Estimation for English-Malayalam (Sindhujan et al., MTSummit 2025)
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PDF:
https://preview.aclanthology.org/mtsummit-25-ingestion/2025.mtsummit-2.23.pdf