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SUMMARY:Navigating the AI Hype: Building Natural Language Processing for L
 ow Resource Languages - Asmelash Teka Hadgu (Lesan\; DAIR)
DTSTART:20230310T120000Z
DTEND:20230310T130000Z
UID:TALK196510@talks.cam.ac.uk
CONTACT:Rami Aly
DESCRIPTION:Abstract:\n\nNatural Language Processing (NLP) research has ma
 de remarkable progress\, yielding impressive results on benchmark datasets
  and fueling the development of real-world products such as ChatGPT. Howev
 er\, this progress has also been accompanied by hype from large corporatio
 ns like META\, who claim breakthroughs in machine translation across hundr
 eds of languages. This talk will examine the challenges and opportunities 
 of creating datasets\, developing systems\, and navigating the hype from b
 ig tech companies when building language technologies for low resource lan
 guages. NLP research for low resource languages holds tremendous potential
 \, e.g.\, for the hundreds of millions of people in Africa who speak many 
 of these languages. It has the potential to enhance access to critical inf
 ormation\, improve education and healthcare outcomes\, and promote peacefu
 l coexistence by enabling communication across language bubbles.\n\n\nBio:
 \n\nAsmelash Teka Hadgu is the Co-founder and CTO of Lesan and a fellow at
  the Distributed AI Research Institute (DAIR). At Lesan\, he has built sta
 te-of-the-art machine translation systems to and from Amharic\, Tigrinya a
 nd English. Prior to Lesan\, Asmelash did his PhD at the Leibniz Universit
 y Hannover where his research focused on applied machine learning for appl
 ications in scholarly communication\, crisis communication and natural lan
 guage processing in low resource settings.\n\nTopic: NLIP Seminar Time: Ma
 rch 10\, 2023 12:00 PM London\n\nJoin Zoom Meeting https://cl-cam-ac-uk.zo
 om.us/j/94330375053?pwd=TjRtbTg5aUdzWVdLRU15RjR0V2g0Zz09\n\nMeeting ID: 94
 3 3037 5053 Passcode: 768471
LOCATION:Virtual (Zoom)
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