Megalite: A New Spanish Literature Corpus for NLP Tasks


Luis-Gil Moreno-Jiménez1 and Juan-Manuel Torres-Moreno1, 2, 1Université d’Avignon, France, 2GIGL, Polytechnique Montréal (Québec), Canada


In this work we introduce the Spanish Literary corpus MegaLite, a new corpus well adapted to Natural Language Processing (NLP), Computational Creativity (CC), Text generation and others studies. We address the creation of this corpus of literary documents to evaluate or design algorithms in automatic text generation, classification, stylometry and rhetorical analysis, sentiment detection, among other tasks. We have constituted this corpus manually in order to avoir genre classification errors. Near of 5 200 works on the genres narrative, poetry and plays constitute this corpus. Some statistics and applications of MegaLite corpus are presented and discussed. The MegaLite corpus will be available to the community as a free resource, under several adequate formats.


Emotion Corpus, Spanish Literary Corpus, Learning algorithms, Linguistic resources.

Full Text  Volume 11, Number 1