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#9 - Natural Language Processing for Africans by Africans with Salomon Kabongo
Natural Language Processing (NLP) is a hot area of research and application in the field of AI, but why should it matter to us as Africans? In this episode, we had a conversation with Salomon Kabongo KABENAMUALU, an NLP researcher at the African Master’s in Machine Intelligence (AMMI) which is a program under the African Institute for Mathematical Sciences (AIMS).
In this episode, you'll learn (with timestamps);
6:01 - What life is like as an African researcher.
8:39 - What Natural Language Processing is and why it should matter to us as Africans.
11:49 - Why Salomon chose to make NLP research as opposed to other areas of technology.
14:36 - The current state of NLP technology in Africa.
17:26 - The challenges surrounding the progress of NLP for African problems.
20:45 - Salomon's prediction on how long it would take researchers to overcome the challenges halting the progress of NLP technology in Africa.
23:42 - Steps being taken to make NLP systems "responsible" for Africans.
28:40 - Specific applications that NLP could be very optimal for that problems-solvers in Africa should be aware of.
32:00 - How these problem-solvers can leverage the *stable* progress in NLP and avoid getting caught up by the hype of the latest advancements.
35:35 - Pitfalls to avoid for African Data Scientists getting started learning and applying NLP to solve African problems.
39:40 - How global improvements in NLP in the coming years will affect how we apply the technology to solve African problems.
45:10 - Resources for Africans looking to learn more about NLP in the context of Africa.
--
Salomon’s;
> Website
--
> Learn from one of our guest facilitator’s (Aurélién Geron) workshop on “Natural Language Processing in Action Using Transformers in TensorFlow 2.0” here.
--
LINK(S) MENTIONED IN THE EPISODE:
Mashanke NLP
Deep Learning Indaba
Professor Julia's episode Salomon referenced during the podcast here.
Speech and Language Processing (3rd ed. draft) by Dan Jurafsky and James H. Martin here.
--
> Subscribe, download, and if you enjoyed the show, leave a 5-star rating for us wherever you listen to your shows. It will help others find the show.
📩 Share with your friends and colleagues as well that will gain from this episode.
--
🤝🏼Socials
💙Follow us on Twitter.
📺 Visit our YouTube channel.
View all episodes
By AI Community AfricaNatural Language Processing (NLP) is a hot area of research and application in the field of AI, but why should it matter to us as Africans? In this episode, we had a conversation with Salomon Kabongo KABENAMUALU, an NLP researcher at the African Master’s in Machine Intelligence (AMMI) which is a program under the African Institute for Mathematical Sciences (AIMS).
In this episode, you'll learn (with timestamps);
6:01 - What life is like as an African researcher.
8:39 - What Natural Language Processing is and why it should matter to us as Africans.
11:49 - Why Salomon chose to make NLP research as opposed to other areas of technology.
14:36 - The current state of NLP technology in Africa.
17:26 - The challenges surrounding the progress of NLP for African problems.
20:45 - Salomon's prediction on how long it would take researchers to overcome the challenges halting the progress of NLP technology in Africa.
23:42 - Steps being taken to make NLP systems "responsible" for Africans.
28:40 - Specific applications that NLP could be very optimal for that problems-solvers in Africa should be aware of.
32:00 - How these problem-solvers can leverage the *stable* progress in NLP and avoid getting caught up by the hype of the latest advancements.
35:35 - Pitfalls to avoid for African Data Scientists getting started learning and applying NLP to solve African problems.
39:40 - How global improvements in NLP in the coming years will affect how we apply the technology to solve African problems.
45:10 - Resources for Africans looking to learn more about NLP in the context of Africa.
--
Salomon’s;
> Website
--
> Learn from one of our guest facilitator’s (Aurélién Geron) workshop on “Natural Language Processing in Action Using Transformers in TensorFlow 2.0” here.
--
LINK(S) MENTIONED IN THE EPISODE:
Mashanke NLP
Deep Learning Indaba
Professor Julia's episode Salomon referenced during the podcast here.
Speech and Language Processing (3rd ed. draft) by Dan Jurafsky and James H. Martin here.
--
> Subscribe, download, and if you enjoyed the show, leave a 5-star rating for us wherever you listen to your shows. It will help others find the show.
📩 Share with your friends and colleagues as well that will gain from this episode.
--
🤝🏼Socials
💙Follow us on Twitter.
📺 Visit our YouTube channel.