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

Author(s): Mario G.C.A. Cimino | Gigliola Vaglini

Journal: Algorithms
ISSN 1999-4893

Volume: 6;
Issue: 3;
Start page: 565;
Date: 2013;
Original page

Keywords: natural language processing | language usage | emergent paradigm | unsupervised approach | connectionist model | web as corpus

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.
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