%0 Journal Article
%T An Emergent Approach to Text Analysis Based on a Connectionist Model and the Web
%A Mario G.C.A. Cimino
%A Gigliola Vaglini
%J Algorithms
%D 2013
%I MDPI AG
%R 10.3390/a6030565
%X In this paper, we present a method to provide proactive assistance in text checking, based on usage relationships between words structuralized on the Web. For a given sentence, the method builds a connectionist structure of relationships between word n-grams. Such structure is then parameterized by means of an unsupervised and language agnostic optimization process. Finally, the method provides a representation of the sentence that allows emerging the least prominent usage-based relational patterns, helping to easily find badly-written and unpopular text. The study includes the problem statement and its characterization in the literature, as well as the proposed solving approach and some experimental use.
%K natural language processing
%K language usage
%K emergent paradigm
%K unsupervised approach
%K connectionist model
%K web as corpus
%U http://www.mdpi.com/1999-4893/6/3/565