andrea-cavallo-98/Low-resource-Machine-Translation
Multilingual finetuning of Machine Translation model on low-resource languages. Project for Deep Natural Language Processing course.
This project helps developers and researchers improve machine translation for languages with limited data. By taking a general-purpose translation model and fine-tuning it with small datasets for specific low-resource languages, it generates more accurate translations. This is useful for natural language processing engineers or AI researchers working on multilingual applications.
No commits in the last 6 months.
Use this if you are a machine translation developer or researcher focused on enhancing translation quality for languages like Vietnamese, Khmer, or Kazakh where large parallel text corpora are scarce.
Not ideal if you need an out-of-the-box translation service for high-resource languages or a simple API for existing translation models.
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Last pushed
Feb 23, 2022
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