ANN-Based Model for Simple Grammatical Cases Teaching in Spanish Language

Abstract

The Multilayer Perceptron (MLP) is one of the most powerful and popular network architectures, due to its ability to solve a large number of problems successfully. The objective of this work is to develop a model based on neural networks to solve simple grammar cases in the Spanish language, which in turn, allows the teaching of Artificial Neural Networks (ANN) in students. The presented model consists of 12 stages that allow to simulate simple grammatical cases. An illustrative example is presented with two programs that allow to simulate the grammatical case “Uppercase Identification” and “Infinitive Verbs” using MLP; each had a training scenario and a learning verification scenario.