1. Translingual Knowledge Projection and Statistical Machine Translation
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OBJECTIVES
Robust projection of linguistic annotations and analysis tools across languages
Bootstrapping out of the multilingual resource bottleneck
Building the next generation of statistical MT models by exploiting rich linguistic feature spaces
PLACE
translation and analysis of new data JJ
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… . NN JJ
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[ National laws ] applying in [ Hong Kong ]
The urgent response to
...
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PLACE JJ
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[ National laws ] applying in [ Hong Kong ]
New Statistical
MT Models [ ] [ ]
analysis
projection IN
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training In
Hong
implementing of
national
law(s)
Kong
PLACE
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IMPACT
Annotated resource induction for new languages
 core enabling data for the research community
NLP analysis tool induction for new languages
 supporting multilingual IR, speech recognition,
OCR and information extraction applications
Fundamental advances in statistical MT models
 low cost, rapid MT development for new languages
SCHEDULE
Tools and Annotated Corpora in Multiple Languages:
Morphology
Part-of-speech
NP/Named Entity
Word Class/Sense
Full Parsing
MT Model Development
Broad Application to
New Languages and
Additional Tasks
Tech-transfer Workshops
Comparative Evaluations
Johns Hopkins: D. Yarowsky, W. Byrne, J. Eisner, F. Jelinek, S. Khudanpur
University of Maryland: P. Resnik, B. Dorr, A. Weinberg