stopes
A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) built by the FAIR NLLB team. (by facebookresearch)
flores
Facebook Low Resource (FLoRes) MT Benchmark (by facebookresearch)
Our great sponsors
| stopes | flores | |
|---|---|---|
| 1 | 8 | |
| 237 | 617 | |
| 3.4% | - | |
| 5.8 | 0.0 | |
| 5 months ago | over 1 year ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
stopes
Posts with mentions or reviews of stopes.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-21.
-
[D] Hey Reddit! We're a bunch of research scientists and software engineers and we just open sourced a new state-of-the-art AI model that can translate between 200 different languages. We're excited to hear your thoughts so we're hosting an AMA on 07/21/2022 @ 9:00AM PT. Ask Us Anything!
We have a bunch! The model and data are available here: https://github.com/facebookresearch/fairseq/tree/nllb/examples/nllb/modeling , LASER3 here: https://github.com/facebookresearch/fairseq/tree/nllb/examples/nllb/laser\_distillation , training data here: https://github.com/facebookresearch/fairseq/tree/nllb/examples/nllb/data , FLORES and our other human translated datasets here: https://github.com/facebookresearch/flores , and an entire modular pipeline for data cleaning here: https://github.com/facebookresearch/stopes. It's also available on HuggingFace! [angela]
flores
Posts with mentions or reviews of flores.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-21.
-
Opinion on Tatoeba corpus?
Only smaller ones - e.g Flores200 (https://huggingface.co/datasets/facebook/flores / https://github.com/facebookresearch/flores)
-
[D] Hey Reddit! We're a bunch of research scientists and software engineers and we just open sourced a new state-of-the-art AI model that can translate between 200 different languages. We're excited to hear your thoughts so we're hosting an AMA on 07/21/2022 @ 9:00AM PT. Ask Us Anything!
We have a bunch! The model and data are available here: https://github.com/facebookresearch/fairseq/tree/nllb/examples/nllb/modeling , LASER3 here: https://github.com/facebookresearch/fairseq/tree/nllb/examples/nllb/laser\_distillation , training data here: https://github.com/facebookresearch/fairseq/tree/nllb/examples/nllb/data , FLORES and our other human translated datasets here: https://github.com/facebookresearch/flores , and an entire modular pipeline for data cleaning here: https://github.com/facebookresearch/stopes. It's also available on HuggingFace! [angela]
-
Hey Reddit! We're a bunch of research scientists and software engineers and we just open sourced a new state-of-the-art AI model that can translate between 200 different languages. We're excited to hear your thoughts so we're hosting an AMA on 07/21/2022 @ 9:00AM PT. Ask Us Anything!
Open sourcing: By open sourcing our model and publishing a slew of research tools, we hope that AI researchers whose languages are not supported well or at all on commercial translations services could use our model to create support for that language. Furthermore, we’ve open sourced datasets, such as NLLB-Seed and FLORES-200 evaluation benchmark, which doubles the existing language coverage over our previous benchmark.
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No Language Left Behind
Dhivehi is currently not supported, unfortunately. We view this as a starting point and are committed to expanding to many other languages as in the spirit of our project name.
Full list of currently supported languages can be found here: https://github.com/facebookresearch/flores/tree/main/flores2...
What are some alternatives?
When comparing stopes and flores you can also consider the following projects:
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
tm2tb - Bilingual term extractor
LASER - Language-Agnostic SEntence Representations
nematus - Open-Source Neural Machine Translation in Tensorflow
Thirukkural-English-Translation-Dataset - Thirukural in English