Hi Burn, it sounds very good! I like the idea of sample skeletons of UIMA applications to help people understand possible usages/scenarios, even more considering that we still don't have rich multi modal analysis samples. So +1 Tommaso
2010/11/24 Marshall Schor <[email protected]> > On 11/23/2010 5:44 PM, Burn Lewis wrote: > > Application skeleton for multi-modal NLP analysis > > > > There has been renewed interest in the typesystem and annotators > developed > > as part of the Darpa GALE project to demonstrate how to combine analytics > > from multiple sources and modalities. The GALE Interoperabilty > > Demonstration system (IOD) uses UIMA-AS to interconnect 11 different > types > > of NLP analytics distributed over 7 research facilities in 3 countries to > > transcribe, translate, and extract information from foreign language news > > broadcasts. > > > > To aid the development of other multi-modal applications I plan to > publish a > > skeleton of this application in the sandbox. It will eventually include > the > > following: > > - the UIMA typesystem that was developed to allow each analytic to > operate > > on an appropriate view of the data with no dependencies on its origin, > > - simulated analytics for the NLP engines, > > - data reorganization annotators that convert the outputs of one > analytic > > into a form suitable for input to another, > > - descriptors and a flow controller that use the features of UIMA-AS to > run > > similar analytics in parallel, and to scale-out the slowest components. > > > > The goal will be to provide a complete example of a system that converts > > audio in one language to text in another, segmented into topics. > Although > > no real NLP analytics will be included, users can use the simulated ones > as > > examples of how to use the typesystem to wrap an NLP analytic as a UIMA > > annotator. > > > > Any comments and suggestions would be welcome ... I hope to get started > next > > week. > > Sounds like it would be a nice pedagogical example for people to study and > build > upon. > > -Marshall > > Burn > > >
