Three Models of Human Language

Neurosurgery ◽  
1986 ◽  
Vol 19 (2) ◽  
pp. 308-315 ◽  
Author(s):  
Peter McL. Black ◽  
Sandra E. Black ◽  
Janet A. Droge
Keyword(s):  
Cerebral Cortex ◽  
Electrical Stimulation ◽  
Language Processing ◽  
Brain Lesions ◽  
Human Language ◽  
Mental Function ◽  
Linguistic Model

Abstract Three models of human language processing can be discerned in contemporary neurobiology: the Wernicke-Broca model, primarily derived from studies of stroke and other brain lesions; the model developed by Dr. George Ojemann from electrical stimulation mapping of the cerebral cortex; and the linguistic model, evolved from Noam Chomsky's linguistic theories. The Wernicke-Broca model employs a posterior-sensory anterior-motor conception of brain language processing that is substantially different from the more modular conception developed from electrical stimulation mapping. The linguistic model attempts to explain language in terms of hierarchical mental function.

In Search of a Human Language Processing System

1985 ◽  
Vol 30 (7) ◽  
pp. 529-531
Author(s):  
Patrick Carroll
Keyword(s):  
Language Processing ◽  
Processing System ◽  
Human Language

scholarly journals Sentence Generation for Indian Sign Language Using NLP

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 01) ◽  
pp. 196-210
Author(s):  
Dr.P. Golda Jeyasheeli ◽  
N. Indumathi
Keyword(s):  
Deep Learning ◽  
Natural Language Processing ◽  
Sign Language ◽  
Language Processing ◽  
Normal Person ◽  
Human Language ◽  
Android Application ◽  
Sentence Generation ◽  
Normal People ◽  
Indian Sign Language

Nowadays the interaction among deaf and mute people and normal people is difficult, because normal people scuffle to understand the sense of the gestures. The deaf and dumb people find problem in sentence formation and grammatical correction. To alleviate the issues faced by these people, an automatic sign language sentence generation approach is propounded. In this project, Natural Language Processing (NLP) based methods are used. NLP is a powerful tool for translation in the human language and also responsible for the formation of meaningful sentences from sign language symbols which is also understood by the normal person. In this system, both conventional NLP methods and Deep learning NLP methods are used for sentence generation. The efficiency of both the methods are compared. The generated sentence is displayed in the android application as an output. This system aims to connect the gap in the interaction among the deaf and dumb people and the normal people.

scholarly journals Electrical Stimulation-Evoked Release of Endogenous Taurine from Slices of the Hippocampus, Cerebral Cortex and Cerebellum of the Rat

1992 ◽  
Vol 15 (9) ◽  
pp. 519-525 ◽  
Author(s):  
Takao KUBO ◽  
Akiko TAKANO ◽  
Natsuko TOKUSHIGE ◽  
Noriko MIYATA ◽  
Masami SATO ◽  
...  
Keyword(s):  
Cerebral Cortex ◽  
Electrical Stimulation

Honoring Fodor

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
José Manuel Igoa
Keyword(s):  
Language Processing ◽  
Human Mind ◽  
Human Language ◽  
Jerry Fodor

Jerry Fodor made significant contributions to our knowledge of the human mind, of the nature of concepts and meaning, and of human language processing. Here is more on his atomistic theory of concepts.

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