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SUMMARY:Systematic Inequalities in Language Technology Performance across 
 the World's Languages - Graham Neubig\, Carnegie Mellon University
DTSTART:20220217T110000Z
DTEND:20220217T120000Z
UID:TALK167834@talks.cam.ac.uk
CONTACT:Marinela Parovic
DESCRIPTION:Natural language processing (NLP) systems have become a centra
 l technology in communication\, education\, medicine\, artificial intellig
 ence\, and many other domains of research and development. While the perfo
 rmance of NLP methods has grown enormously over the last decade\, this pro
 gress has been restricted to a minuscule subset of the world's 6\,500 lang
 uages. We introduce a framework for estimating the global utility of langu
 age technologies as revealed in a comprehensive snapshot of recent publica
 tions in NLP. Our analyses involve the field at large\, but also more in-d
 epth studies on both user-facing technologies (machine translation\, langu
 age understanding\, question answering\, text-to-speech synthesis) as well
  as more linguistic NLP tasks (dependency parsing\, morphological inflecti
 on). In the process\, we (1) quantify disparities in the current state of 
 NLP research\, (2) explore some of its associated societal and academic fa
 ctors\, and (3) produce tailored recommendations for evidence-based policy
  making aimed at promoting more global and equitable language technologies
 .
LOCATION:https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBd
 XVpOXFvdz09
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