We represent all languages in their natural script, rather than transliterating them into a common synthetic one. Regarding Mari: extremely interesting language, exciting to hear that you are from that region. We are…
We tokenize with the flores-200 spm model, correct. To generate from the model, check out the instructions here: https://github.com/facebookresearch/fairseq/tree/nllb/exampl...
could you send me an email please? It's available on our paper, page 1: https://research.facebook.com/publications/no-language-left-... Regarding grants: we have offered compute grants previously with the Workshop on…
sooo real. Many low-resource languages have many different natural variants, can be written in multiple scripts, don't have as much written standardization, or are mainly oral. As part of the creation of our benchmark,…
ha yes, that's correct. If you have thoughts on specific constructed languages where having translation would really help people, let us know!
We interviewed speakers of low-resource languages from all over the world to understand the human need for this kind of technology --- what do people actually want, how would they use it, and what's the quality they…
We release several smaller models as well: https://github.com/facebookresearch/fairseq/tree/nllb/exampl... that are 1.3B and 615M parameters. These are usable on smaller GPUs. To create these smaller models but retain…
We have a full list here (copy pastable): https://github.com/facebookresearch/flores/tree/main/flores2... and Table 1 of our paper (https://research.facebook.com/publications/no-language-left-...) has a complete list as…
It's an extremely difficult problem indeed. A lot of people on the team speak low-resource languages too (my native language as well!), so definitely resonate with what you're saying. My overall feeling is: yeah it's…
If you're curious to try the system yourself, it's actually being used to help Wikipedia editors write articles for low-resource language Wikipedias: https://twitter.com/Wikimedia/status/1544699850960281601
We represent all languages in their natural script, rather than transliterating them into a common synthetic one. Regarding Mari: extremely interesting language, exciting to hear that you are from that region. We are…
We tokenize with the flores-200 spm model, correct. To generate from the model, check out the instructions here: https://github.com/facebookresearch/fairseq/tree/nllb/exampl...
could you send me an email please? It's available on our paper, page 1: https://research.facebook.com/publications/no-language-left-... Regarding grants: we have offered compute grants previously with the Workshop on…
sooo real. Many low-resource languages have many different natural variants, can be written in multiple scripts, don't have as much written standardization, or are mainly oral. As part of the creation of our benchmark,…
ha yes, that's correct. If you have thoughts on specific constructed languages where having translation would really help people, let us know!
We interviewed speakers of low-resource languages from all over the world to understand the human need for this kind of technology --- what do people actually want, how would they use it, and what's the quality they…
We release several smaller models as well: https://github.com/facebookresearch/fairseq/tree/nllb/exampl... that are 1.3B and 615M parameters. These are usable on smaller GPUs. To create these smaller models but retain…
We have a full list here (copy pastable): https://github.com/facebookresearch/flores/tree/main/flores2... and Table 1 of our paper (https://research.facebook.com/publications/no-language-left-...) has a complete list as…
It's an extremely difficult problem indeed. A lot of people on the team speak low-resource languages too (my native language as well!), so definitely resonate with what you're saying. My overall feeling is: yeah it's…
If you're curious to try the system yourself, it's actually being used to help Wikipedia editors write articles for low-resource language Wikipedias: https://twitter.com/Wikimedia/status/1544699850960281601