NICE: Native language Interpretation and Communication Environment

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NICE Native language Interpretation and
Communication Environment

• New Ideas
• Use machine learning to learn translation rules
  from native speakers who are not trained in
  linguistics or computer science.
• Multi-Engine translation architecture can
  flexibly take advantage of whatever resources are
  available.
• Research partnerships with indigenous communities
  in Latin America.

• Impact
• Rapid development of machine translation for
  languages with scarce resources.
• Policy makers can get input from indigenous
  people.
• Indigenous people can participate in government
  and internet.

Schedule

• 12/2000 Corpus and baseline machine translation
  for first language, no machine learning.
• 9/2001 First version of machine translation
  with machine learning .
• 9/2002 Corpus and baseline machine translation
  for second language.

Carnegie Mellon University School of Computer
Science L. Levin, J. Carbonell, A. Lavie, R.
Brown