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.
An Emergent Approach to Text Analysis Based on a Connectionist Model and the Web
CIMINO, MARIO GIOVANNI COSIMO ANTONIO;VAGLINI, GIGLIOLA
2013-01-01
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.File | Dimensione | Formato | |
---|---|---|---|
algorithms-06-00565.pdf
accesso aperto
Descrizione: Articolo principale
Tipologia:
Versione finale editoriale
Licenza:
Creative commons
Dimensione
899.03 kB
Formato
Adobe PDF
|
899.03 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.