Helen M. Gigley

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Computational Neurolinguisties (CN) integrates a r t i f i c i a l intel l igence (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 pa ra l l e l , and exemplifies language as the result of time synchronized(More)
Computational neurolinguistics (CN) is an approach to computational l inguist ics 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 e v ~ c e , normal and pathological. This paper w i l l(More)
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 wi l l focus on these issues and suggest(More)
  • H M Gigley
  • Computer methods and programs in biomedicine
  • 1986
Computational neurolinguistics, an integrated approach to cognitive modelling of neural processes which may subserve natural language performance, attempts to build computational models that model behavior on two levels: at the neural process level and at the human performance level in its normal state and under pathological conditions. HOPE is one example(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)
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)