This repository contains our participation to the WMT 2024 Shared Task of Translation into Low-Resource languages of Spain. The task consists in developing Machine Translation (MT) systems to translate from Spanish into Aragonese, Aranese and Asturian
Our submission consists of 4 submissions covering all language pairs with multilingual systems.
This table shows a summary of our submissions:
| Submission # | Method | BLEU-arg | BLEU-arn | BLEU-ast | Params (M) | Size (MB) | Speed (s) |
|---|---|---|---|---|---|---|---|
| Submission 1 | Fine-tuning | 55.94 | 28.35 | 18.55 | 222.9 | 851 | 852.22 |
| Submission 2 | Distillation | 54.24 | 28.19 | 18.53 | 67.5 | 258 | 361.33 |
| Submission 3 | Distillation | 52.86 | 27.15 | 18.23 | 20.4 | 78 | 4.06 |
| Submission 4 | Distillation | 56.99 | 30.19 | 18.50 | 67.5 | 258 | 891.76 |
Table 1: Summary of our submissions. BLEU refers to the BLEU score obtained by the best ensemble on the development set; Speed refers to the averaged decoding speed for submission across language pairs on one single AMD MI250x GPU.
All our code is in the scripts folder.
The already preprocessed and filtered training data can be safely downloaded from this link: https://a3s.fi/degibert-2001194-pub/lowres-spain-data.zip
The password is "Helsinki-NLP".
We release our fastest model from Submission 3. It can be safely downloaded from this link: https://object.pouta.csc.fi/degibert/lowres_sub_3.zip
Coming soon!