The Text Complexity Library

Rocío López-Anguita, Jaime Collado-Montañez, Arturo Montejo-Ráez


This paper introduces a new resource for computing textual complexity. It consists in a Python library for calculating different complexity metrics for several languages from plain texts. The resource has been made available to the research community and provides all needed instructions for its installation and use. To our knowledge, it is the first time a resource like this is published, so we expect many researchers can profit from it.

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