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Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages

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Masakhane: With overwhelming excitement that we can finally share with you "Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages" to be published at ✨Findings of @emnlp2020 ✨💕🌍💪🏾 Preprint: http://arxiv.org/abs/2010.02353 /1 https://t.co/iLgMmDbZPK

5 replies, 261 likes


arXiv CS-CL: Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages http://arxiv.org/abs/2010.02353

0 replies, 36 likes


Julia Kreutzer: Preprint is out 💥 Main insight: Only *together* we can truly make progress towards African MT. 🌱💚 It's a celebration of scientific collaboration in the form of participatory research 🎉 #NLProc @MasakhaneNLP @GoogleAI

1 replies, 35 likes


Kathleen S.: I have so much love and respect for the people on this here African NLP space. The revolution shall be multi-lingual. 😉😉 #Masakhane #WeBuildTogether

0 replies, 33 likes


Alp Öktem: Masakhane initiative is by far the most revolutionary movement I’ve experienced and luckily became a part of in the #NLP world. Very excited to be published at Findings of @emnlp2020 📜: http://arxiv.org/abs/2010.02353 /1 https://t.co/XHgQapcKQC

1 replies, 24 likes


Masakhane: (Nigerian Pidgin translation by @Kelechukwu_ ) Research wey dey make computer fit understand language (NLP) no get many contris wey dey do am for dia language. Dem neva settle di mata wey concern how NLP go tek enta languages wey no get material. 🌍👩🏿‍💻 /1 https://arxiv.org/abs/2010.02353 https://t.co/nO7snMpO1p

1 replies, 24 likes


Perez Ogayo @vGHC20💻: It is finally out! This is really huge for me as it is my first research paper. @MasakhaneNLP is an awesome community. Congratulations to every author! #SautiYetu

1 replies, 18 likes


Jack Clark: Data distribution VS data representation - there are huge swathes of human experience which are not represented in digitized datasets. From a Masakhane paper: Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages https://arxiv.org/abs/2010.02353 https://t.co/1Ga3vNZDa0

0 replies, 16 likes


Wilhelmina: I always get goosebumps reading our paper & even more reading this abstract out loud🥰. It makes me feel soo much closer to my roots, diverse + colourful home, community & township Golgotha(G14) #Katutura, #Namibia 🥰Home to a significant #khoekhoegowab urban population too❤️

1 replies, 15 likes


Edward Dixon: Impressive work, also this table from the paper is heartbreaking. For reference, Irish (spoken daily by < 100K?) has 53,000 Wikipedia articles, topping Yorube, Shona, Zulu and Igbo's combined (with a total 100 million speakers). https://t.co/Hc3RdRcv06

0 replies, 15 likes


Dr. Vukosi Marivate: Worth the read and a fantastic project. Look out for what we have planned in 2021 #AfricanNLP

0 replies, 15 likes


Jade Abbott: WE DID A THING https://t.co/uLWFKXzYJL

1 replies, 14 likes


Laura is at home: Ohhhhh 👀 "“Lowresourced”-ness is a complex problem going beyond data availability and reflects systemic problems in society"

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Wilhelmina: "Never doubt that a small group of thoughtful committed citizens can change the world. Indeed, it's the only thing that ever has" - Margaret Mead, '!Kho-am ta ra🤗, Kai Aios @MasakhaneNLP 🥰. Kaise ta a !gâibahe'❤️

0 replies, 13 likes


The Africa I Know™: We are proud of our Video Editor, Wilhelmina Nekoto, for her co-authored paper on Machine Translation for African Languages. Congratulations @Onyothi and the whole @MasakhaneNLP!

0 replies, 13 likes


Bonaventure DOSSOU: Finally can talk about this paper publicly. Glad, proud, excited, happy with the way we've come so far @MasakhaneNLP ❤

0 replies, 11 likes


Olabiyisam: YORUBA paper version Masakhane Translation @DataScienceNIG #EndSARS Thanks @MasakhaneNLP

0 replies, 9 likes


Shamsuddeen Hassan Muhammad: Our paper has been accepted at @emnlp2020 Findings. Yes, @MasakhaneNLP is putting Africa on the NLP Map!. Thank you #alienelf for building a community that is second to none in Africa.

1 replies, 9 likes


Dr. Vukosi Marivate: Here it is.

0 replies, 8 likes


Djeff Kanda: Congrats @SalomonKabongo1 and @MasakhaneNLP team

0 replies, 7 likes


RESET: ""Low-resourced"-ness is a complex problem going beyond data availability and reflects systemic problems in society." #LanguagesMatter #MT #NLP #equity #digitalforgood https://en.reset.org/blog/masakhane-using-ai-bring-african-languages-global-conversation-02062020

0 replies, 6 likes


Chris Emezue: I'm so grateful and blessed to be a part of this outstanding project 🙏🏽🙌🏼 @MasakhaneNLP

0 replies, 6 likes


Don Osborn: Interested to see this set of translations into Fongbe of excerpts from an article on machine translation. Is it time for academic & professional journals to include translations of abstracts of articles on Africa into selected African languages? Anything would be a step forward

0 replies, 6 likes


HotComputerScience: Most popular computer science paper of the day: "Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages" https://hotcomputerscience.com/paper/participatory-research-for-low-resourced-machine-translation-a-case-study-in-african-languages https://twitter.com/MasakhaneNLP/status/1313717627722838022

0 replies, 4 likes


Juliana Rotich: Important paper & an effective approach. .ke agents and researchers, have a look? Cc @AngieNicoleOD (there is a crowdsourcing component here that is interesting) @bantigito

0 replies, 4 likes


Dr. Vukosi Marivate: 🥰

0 replies, 2 likes


Content

Found on Oct 07 2020 at https://arxiv.org/pdf/2010.02353.pdf

PDF content of a computer science paper: Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages