Introduction:

Current advances in the field of ICTs have allowed an important boost in the development of systems that allow translating plain text in Spanish into pictograms. However, the current solutions cannot be understood by a person with language difficulties in Cuba because some terminologies are not present in everyday language.

Objective:

To develop the Pictobana model for the semantic analysis of a Pictotranslator that integrates the semantics of the Cuban language.

Methods:

The model was developed by applying natural language processing techniques. A linguistic analysis was carried out with the aim of providing the best possible representations of the texts in pictograms.

Results:

The model is implemented in a web application that provides a tool that helps promote communication skills and abilities for people with speech difficulties and their families in Cuba.

Conclusions:

The tests carried out through experiments and expert criteria show that the developed analyzer increases the adjustability of the pictograms to the context and the semantics, reducing the incoherence and semantic ambiguity of the future system.

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