Abstract
This paper presents a stand-alone application for text interpretation to Ecuadorian Sign Language (LSEC), modeled by a nondeterministic finite automaton (NFA), lexical analysis and regular expressions. This application will allow you to interpret a text entered by a user and present it through GIF graphic resources, thus allowing you to establish unidirectional communication between a hearing person and a person with hearing impairment. Our application is developed under MVC architecture. The state machine and lexical analyzer are in the model layer, which will be handled by the controller layer and that will allow the user to receive the inputs and send the outputs through the view layer. We evaluate the effectiveness of the tool using an LSEC dictionary with a total of 275 words and idioms, for different users with hearing impairment, and the results showed that our application is robust and fast.
