Expert profile: Alon Lavie

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My main areas of research are Machine Translation (MT) of both text and speech, 
and Spoken Language Understanding (SLU). My current most active research is on 
developing a general framework for syntax-driven Machine Translation, 
applicable to a variety of data scenarios. This framework is being applied to 
developing MT prototype systems for languages with limited amounts of 
electronic resources. It is also being applied to data-rich scenarios. One main
focus of this work is the development of novel syntax-based methods for 
acquisition of the resources that are necessary for MT. I am also actively 
working on frameworks for Multi-Engine Machine Translation (MEMT) and on 
developing automatic metrics for MT evaluation. Another current research 
project is developing parsing approaches for accurate annotation of Grammatical 
Relations (GRs)in spoken language data. I have also worked extensively on the 
design and development of Speech-to-Speech Machine Translation systems and on 
robust parsing algorithms for analysis of spoken language.