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Algorithms 2013, 6(3), 565-590; doi:10.3390/a6030565
Article

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

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Received: 5 August 2013; in revised form: 5 September 2013 / Accepted: 10 September 2013 / Published: 17 September 2013
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Abstract: 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.
Keywords: natural language processing; language usage; emergent paradigm; unsupervised approach; connectionist model; web as corpus natural language processing; language usage; emergent paradigm; unsupervised approach; connectionist model; web as corpus
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Cimino, M.G.; Vaglini, G. An Emergent Approach to Text Analysis Based on a Connectionist Model and the Web. Algorithms 2013, 6, 565-590.

AMA Style

Cimino MG, Vaglini G. An Emergent Approach to Text Analysis Based on a Connectionist Model and the Web. Algorithms. 2013; 6(3):565-590.

Chicago/Turabian Style

Cimino, Mario G.; Vaglini, Gigliola. 2013. "An Emergent Approach to Text Analysis Based on a Connectionist Model and the Web." Algorithms 6, no. 3: 565-590.


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