Papers by Meliksah Turker
TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation (2024.findings-acl)
Copied to clipboard
| Challenge: | Recent advances in natural language processing have favored well-resourced English-centric models, resulting in a significant gap with low-resource languages. |
| Approach: | They propose a language model for the low-resource language Turkish that is capable of both natural language understanding and generation tasks. |
| Outcome: | The proposed model outperforms multilingual models in understanding and generation tasks and competes with monolingual models for understanding tasks. |