You're currently viewing an old version of this dataset. To see the current version, click here.

Feasibility of Post-Editing Speech Transcriptions with a Mismatched Crowd

The dataset consists of synthetic, phonetically proximate options which emulate post-editing scenarios of varying difficulty for five languages: Arabic, German, Hindi, Russian, and Spanish.

Data and Resources

Cite this as

Purushotam Radadia, Shirish Karande (2024). Dataset: Feasibility of Post-Editing Speech Transcriptions with a Mismatched Crowd. https://doi.org/10.57702/xu2jwru9

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.1609.02043
Author Purushotam Radadia
More Authors
Shirish Karande