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)
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)
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)