A distributed neural network comprehend news articles that emulate language processing of English sentences and derive basic understanding. The method of computation implements the MAYA Semantic Technique (Mitchell, 2015), a mathematical technique I previously developed to determine partial semantics of sentences within a natural language processing program. The results of the model shows how a distributed neural network that composed of the words, part-of-speech and its lexical synset can be constructed to comprehend news articles and determine basic understanding of the text. The text can be from either news, journals or magazine articles.
Modeling english sentences within a distributed neural network for comprehension and understanding of a news article