An Emergent Approach to Text Analysis Based on a Connectionist Model and the Web

• Main Authors: Gigliola Vaglini, Mario G.C.A. Cimino
• Format: Article
• Language: English
• Published: MDPI AG 2013-09-01
• Series: Algorithms
• Subjects: natural language processing; language usage; emergent paradigm; unsupervised approach; connectionist model; web as corpus
• Online Access: http://www.mdpi.com/1999-4893/6/3/565

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.