Morphological Clustering of Neologisms

Jordi Porta-Zamorano, Alejandro Muñoz-Navarro, Carlos Golvano-Díaz, Esther Navío-Castellano

Resumen


This work addresses the identification of groups of words morphologically related through inflection or derivation. The purpose of this task is to monitor neologisms and consider if they should enter a dictionary depending on evidence gathered. With this aim in mind, a lemmatizer and a derivational analyzer based on deep neural networks have been developed, along with several algorithms from graph theory and complex networks.

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