Papers by Nada Basit
How many words does it take to understand a low-resource language? (2025.naacl-srw)
Copied to clipboard
| Challenge: | We evaluated the documentation needed to create a sentence embedding space using widely spoken languages. |
| Approach: | They propose to use widely spoken languages as a proxy for low-resource languages to evaluate the documentation needed to create a sentence embedding space. |
| Outcome: | The proposed language model can be used to improve the performance of sentences embedded in low-resource languages. |