activity
20192024
most citedEnhanced back-translation for low resource neural machine translation using self-training

12 citations · 30 across the 6 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

cs.CL2024

Quantity vs. Quality of Monolingual Source Data in Automatic Text Translation: Can It Be Too Little If It Is Too Good?

Idris Abdulmumin, Bashir Shehu Galadanci, Garba Aliyu +1

Monolingual data, being readily available in large quantities, has been used to upscale the scarcely available parallel data to train better models for automatic translation. Self-…