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.
|Autori:||Cimino, MARIO GIOVANNI COSIMO ANTONIO; Vaglini, Gigliola|
|Titolo:||An Emergent Approach to Text Analysis Based on a Connectionist Model and the Web|
|Anno del prodotto:||2013|
|Digital Object Identifier (DOI):||10.3390/a6030565|
|Appare nelle tipologie:||1.1 Articolo in rivista|