Abstract: 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.