Computational neurolinguistics (CN) is an approach to computational linguistics which includes neurally-motivated constraints in the design of models of natural language processing. Furthermore, the knowledge representations included in such models must be supported with documented behaviorial ev~ce, normal and pathological .
How can grammar be viewed as a functional part of a cognitive system) Given a neural basis for the processing control paradigm of language performance, what roles does 'Sgrammar" play? Is there evidence to suggest that grammatical processing can be independent from other aspects of language processing? This paper will focus on these issues and suggest… (More)
Computational Neurolinguisties (CN) integrates artificial intelligence (AI) methods with concepts of neurally motivated processing to develop cognitive models of natural language processing. HOPE is one example of a model developed to address issues in CN. The model is parallel, and exemplifies language as the result of time synchronized processes which are… (More)
For instance, for a direct causal relationship, once the simple sentences that express the ACT and RESULT have been chosen, the choice of syntactic structure, the ordering of information, and the number of sentences still remain. Moreover, not all combinations of these choices yield acceptable texts. The discourse grammar encodes the acceptable choice… (More)
Following a brief introduction to the Naval Research Laboratory (NRL), specific ongoing research in speech and human language technology will be presented. Areas of research fall across two laboratories in the Information Technology Division, the Human Computer Interaction Laboratory (HCI) and the Navy Center for Applied Research in Artificial Intelligence… (More)
1 After a brief discussion of current government uses and needs for human language technology, this paper will discuss the uses which will probably survive in the future as well as attempt to define some anticipated ones. Business uses, military uses, and education/training receive the most focus today. Current state of the art technologies are providing… (More)
Women in math and the sciences are becoming fewer and fewer. Or are they? This panel will examine an historical perspective of how and why women succeeded in science , will present a view of current trends of computer science students, and will offer some guidelines and concrete examples of what is being done and what can be done to encourage female… (More)