Automatic categorization of Spanish texts into linguistic registers: a contrastive analysis
Keywords:
Natural language processing, machine learning, linguistic register
Abstract
Collaborative software such as Recommender Systems can benefit from the automatic classification of texts into linguistic registers. First, the linguistic register provides information about the users' profiles and the context of the recommendation. Second, considering the characteristics of each type of text can help to improve existing natural language processing methods. In this paper we contrast two approaches to register categorization for Spanish. The first approach is focused on morphosintactic patterns and the second one on lexical patterns. For the experimental evaluation we tested 38 machine learning algorithms with a precision higher than 89%.
Published
2013-07-20
How to Cite
Roberto Rodríguez, J., Salamó Llorente, M., & Martí Antonín, M. A. (2013). Automatic categorization of Spanish texts into linguistic registers: a contrastive analysis. Linguamática, 5(1), 59-67. Retrieved from https://linguamatica.com/index.php/linguamatica/article/view/153
Issue
Section
Research Articles
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