Work

Clasificación automática del registro lingüístico en textos del español: un análisis contrastivo

Year: 2013

Type: article

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%.

Source: DOAJ (DOAJ: Directory of Open Access Journals)

DOI: 10.21814/lm.5.1.153

Authors: John A. Roberto, María Salamó, M. Antònia Martí

Institution: Universitat de Barcelona

Language: Spanish

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W145011987

FWCI:

Cites:

Cited by: 1

Related to: 10