| --- |
| license: apache-2.0 |
| language: |
| - en |
| - zh |
| - ja |
| - fr |
| - es |
| - it |
| - pt |
| tags: |
| - generative translation |
| - large language model |
| - LLaMA |
| metrics: |
| - bleu |
| pipeline_tag: text-generation |
| datasets: |
| - PeacefulData/HypoTranslate |
| --- |
| This repo releases the trained LLaMA-adapter weights in paper "GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators". |
|
|
| **Code:** https://github.com/YUCHEN005/GenTranslate |
|
|
| **Data:** https://huggingface.co/datasets/PeacefulData/HypoTranslate |
|
|
| **Model:** This repo |
|
|
| ***Filename format:*** [data\_source]\_[src\_language\_code]\_[tgt\_language\_code]\_[task].pth |
| |
| e.g. covost2_ar_en_st.pth |
| |
| ***Note:*** |
| - Language code look-up: Table 15 & 17 in https://arxiv.org/pdf/2402.06894.pdf |
| - Source/target language refers to the translation task, so that the N-best hypotheses and ground-truth transcription are both in target language |
| - For speech translation datasets (FLEURS, CoVoST-2, MuST-C), the task ID "mt" denotes cascaded ASR+MT system |
|
|
|
|
| If you consider this work would be related or useful for your research, please kindly consider to cite the work below. Thank you. |
|
|
| ```bib |
| @inproceedings{hu2024gentranslate, |
| title = "GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators", |
| author = "Hu, Yuchen and Chen, Chen and Yang, Chao-Han Huck and Li, Ruizhe and Zhang, Dong and Chen, Zhehuai and Chng, Eng Siong", |
| booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", |
| publisher = "Association for Computational Linguistics", |
| year = "2024" |
| } |
| ``` |
