This model is a fine-tuned version of
facebook/nllb-200-distilled-600M on
juanjucm/OpenHQ-SpeechT-GL-EN datasetfor
Galician-to-Englis Machine Translation task. It takes Galician texts as input and generates the correspondant English translation.
This Machine Translation model, was developed to be the second stage of a Speech Translation cascade system for transcribing and translating Galician audios into English texts.
This STT model can be used as a first step to transcribe Galician audio into text. After that, this MT model can be applied over the generated Galician transcriptions to get English text translations.
The motivation behind this work is to increase the visibility of the Galician language, making it more accessible for non-Galician speakers to understand and engage with Galician audio content.
This model was developed during a 3-week Speech Translation workshop organised by
Yasmin Moslem.
We used
BLEU Score as our reference translation metric for selecting the best checkpoint after training.
