Transcript Rapid development of machine translation for low density languages New Ideas

Rapid development of machine translation
for low density languages
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.
Interface for data elicitation
Impact
•Rapid and low-cost development of machine
translation for languages with scarce resources.
•OMNIVOROUS MT (from scarce parallel corpora
or indigenous informants).
•Responsive to rapidly changing intelligence needs.
•Seeded version spaces for learning MT in datapoor situations.
Schedule
September 01: Seeded Version Space learning–
concept prototype (SVS).
January 02: Example-Based Machine Translation
(EMBT).
July 02: Multi-Engine: EBMT, statistical MT, and
SVS-ready evaluation of data-poor conditions.
Carnegie Mellon University, Language Technologies Institute: L. Levin, J. Carbonell, A. Lavie, R. Brown, J. Lafferty