LLMs for machine translation on medium-to-low resource languages: A comprehensive evaluation for Catalan
Python
0
6 commits
updated Jan 2, 2024
Large language models (LLMs) that have been trained on monolingual data, predomi- nantly in English, with no intentionally included parallel text, have demonstrated remarkable potential in handling multilingual machine translation. In this study, we aim to assess the performance of decoder-only LLMs in the task of translation in medium-to-low resource languages, conducting both qualitative and quanti- tative error analyses, as well as investigating the effect of translation fine-tuning strategies to the cross-lingual transfer of the model and its ability on other tasks. All of them centred on the context of Iberian languages, focusing on the case of Catalan and Spanish.
LLMs for machine translation on medium-to-low resource languages: A comprehensive evaluation for Catalan
Python
0
6 commits
updated Jan 2, 2024
Large language models (LLMs) that have been trained on monolingual data, predomi- nantly in English, with no intentionally included parallel text, have demonstrated remarkable potential in handling multilingual machine translation. In this study, we aim to assess the performance of decoder-only LLMs in the task of translation in medium-to-low resource languages, conducting both qualitative and quanti- tative error analyses, as well as investigating the effect of translation fine-tuning strategies to the cross-lingual transfer of the model and its ability on other tasks. All of them centred on the context of Iberian languages, focusing on the case of Catalan and Spanish.
