Fuzzy Grammaticality Models: A Tool for Web Language Analysis

Identifier:  imarina:9330050

Handle: https://hdl.handle.net/20.500.11797/imarina9330050

Authors:  Dolores Jimenez-Lopez, M; Torrens Urrutia, Adria

Abstract:
In this paper, we highlight the need to propose formal models that consider grammaticality as a gradient property instead of the categorical view of grammaticality defended in theoretical linguistics. Given that deviations from the norm are inherent to the spontaneous use of language, linguistic analysis tools should account for different levels of grammaticality. Fuzzy grammaticality models may be a way to solve the problem that the so-called "noisy text" poses to parsing mechanisms used in Web language analysis-especially social networks language. (C) 2015 The Authors. Published by Elsevier Ltd.