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  • 标题:Fuzzy Grammaticality Models: A Tool for Web Language Analysis
  • 本地全文:下载
  • 作者:M. Dolores Jiménez-López ; M. Dolores Jiménez-López ; Adrià Torrens Urrutia
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2015
  • 卷号:212
  • 页码:187-191
  • DOI:10.1016/j.sbspro.2015.11.318
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn 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.
  • 关键词:Grammaticality;parsing;web language;web data mining.
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