Authors:
Debora Ramalho Barros
;
Carlo Emmanoel T. de Oliveira
;
Carla Verônica M. Marques
and
Cláudia Lage Motta
Affiliation:
University Federal of Rio de Janeiro, Brazil
Keyword(s):
Text genres, Literacy, Naive bayes, Information retrieval, Genre features, Text linguistic, Genre classes, Interdisciplinary.
Related
Ontology
Subjects/Areas/Topics:
Computer-Supported Education
;
e-Learning
;
e-Learning Hardware and Software
;
e-Learning Platforms
;
Information Technologies Supporting Learning
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Virtual Learning Environments
Abstract:
Genre has been receiving a lot of thought in Brazilian schools, due to its great importance on language learning. According to the Brazilian Education Boarder the work with genre and text production is a possible way to solve its issue on high rate functioning illiteracy. This paper aims to discuss ways of implementing an intelligent-web based system that analyses characteristics of 8 textual genres found in the newspaper support media. During the game, the player can build a newspaper and exercise writing different genres, while a Bayesian agent recognizes genres.